SlideShare une entreprise Scribd logo

6 Concor

•Télécharger en tant que PPT, PDF•
•
M
Maksim Tsvetovat
TechnologieSanté & Médecine
1  sur  24
Clustering, Continued
Hierarchical Clustering ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Algorithm ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Distance between clusters ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Preferred methods? ,[object Object],[object Object],[object Object]
Example - US Cities ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Example - cont. ,[object Object],BOS/NY DC MIA CHI SEA SF LA DEN BOS/NY 0 223 1308 802 2815 2934 2786 1771 DC 223 0 1075 671 2684 2799 2631 1616 MIA 1308 1075 0 1329 3273 3053 2687 2037 CHI 802 671 1329 0 2013 2142 2054 996 SEA 2815 2684 3273 2013 0 808 1131 1307 SF 2934 2799 3053 2142 808 0 379 1235 LA 2786 2631 2687 2054 1131 379 0 1059 DEN 1771 1616 2037 996 1307 1235 1059 0
Example ,[object Object],BS/NY/DC MIA CHI SEA SF LA DEN BS/NY/DC 0 1075 671 2684 2799 2631 1616 MIA 1075 0 1329 3273 3053 2687 2037 CHI 671 1329 0 2013 2142 2054 996 SEA 2684 3273 2013 0 808 1131 1307 SF 2799 3053 2142 808 0 379 1235 LA 2631 2687 2054 1131 379 0 1059 DEN 1616 2037 996 1307 1235 1059 0
Example BOS/NY/DC/CHI MIA SF/LA/SEA DEN BOS/NY/DC/CHI 0 1075 2013 996 MIA 1075 0 2687 2037 SF/LA/SEA 2054 2687 0 1059 DEN 996 2037 1059 0 BOS/NY/DC/CHI/DEN 0 1075 1059 MIA 1075 0 2687 SF/LA/SEA 1059 2687 0 BOS/NY/DC/CHI/DEN/SF/LA/SEA 0 1075 MIA 1075 0
Example: Final Clustering ,[object Object]
Comments ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Extensions ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Multi-Dimensional Scaling ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Input to MDS ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Algorithm ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Dimensionality ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Stress function ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Stress Function, cont. ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Non-zero stress ,[object Object],[object Object],[object Object],[object Object],[object Object]
Increasing dimensionality ,[object Object]
Interpretation of MDS Map ,[object Object],[object Object],[object Object],[object Object],[object Object]
What to look for ,[object Object],[object Object],[object Object],[object Object]
What to look for… ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
High-dimensionality MDS ,[object Object],[object Object],[object Object]

Recommandé

6 Concor
6 Concor6 Concor
6 ConcorMaksim Tsvetovat
 
6 Hiclus
6 Hiclus6 Hiclus
6 HiclusMaksim Tsvetovat
 
3 Centrality
3 Centrality3 Centrality
3 CentralityMaksim Tsvetovat
 
DMSN2
DMSN2DMSN2
DMSN2Marzena Chmielewska
 
Histograms
HistogramsHistograms
HistogramsKelly Jans
 
Frequency Tables - Statistics
Frequency Tables - StatisticsFrequency Tables - Statistics
Frequency Tables - Statisticsmscartersmaths
 
Frequency Distributions for Organizing and Summarizing
Frequency Distributions for Organizing and Summarizing Frequency Distributions for Organizing and Summarizing
Frequency Distributions for Organizing and Summarizing Long Beach City College
 
Malimu variance and standard deviation
Malimu variance and standard deviationMalimu variance and standard deviation
Malimu variance and standard deviationMiharbi Ignasm
 

Recommandé

6 Concor
6 Concor6 Concor
6 ConcorMaksim Tsvetovat
 
6 Hiclus
6 Hiclus6 Hiclus
6 HiclusMaksim Tsvetovat
 
3 Centrality
3 Centrality3 Centrality
3 CentralityMaksim Tsvetovat
 
DMSN2
DMSN2DMSN2
DMSN2Marzena Chmielewska
 
Histograms
HistogramsHistograms
HistogramsKelly Jans
 
Frequency Tables - Statistics
Frequency Tables - StatisticsFrequency Tables - Statistics
Frequency Tables - Statisticsmscartersmaths
 
Frequency Distributions for Organizing and Summarizing
Frequency Distributions for Organizing and Summarizing Frequency Distributions for Organizing and Summarizing
Frequency Distributions for Organizing and Summarizing Long Beach City College
 
Malimu variance and standard deviation
Malimu variance and standard deviationMalimu variance and standard deviation
Malimu variance and standard deviationMiharbi Ignasm
 
Mean Deviation
Mean DeviationMean Deviation
Mean DeviationCarlo Luna
 
Leptokurtic or platokurtic distributions
Leptokurtic or platokurtic distributionsLeptokurtic or platokurtic distributions
Leptokurtic or platokurtic distributionsKen Plummer
 
Machine hw3
Machine hw3Machine hw3
Machine hw3Yi Cui
 
2.4 Scatterplots, correlation, and regression
2.4 Scatterplots, correlation, and regression2.4 Scatterplots, correlation, and regression
2.4 Scatterplots, correlation, and regressionLong Beach City College
 
Variance and standard deviation
Variance and standard deviationVariance and standard deviation
Variance and standard deviationAmrit Swaroop
 
3.3
3.33.3
3.3leblance
 
2.3 Graphs that enlighten and graphs that deceive
2.3 Graphs that enlighten and graphs that deceive2.3 Graphs that enlighten and graphs that deceive
2.3 Graphs that enlighten and graphs that deceiveLong Beach City College
 
Scalars and Vectors Part 3
Scalars and Vectors Part 3Scalars and Vectors Part 3
Scalars and Vectors Part 3UdayKhanal
 
Subspace clustring
Subspace clustringSubspace clustring
Subspace clustringNabil Sy
 
Lecture determinants good one
Lecture determinants good oneLecture determinants good one
Lecture determinants good oneHazel Joy Chong
 
Properties of Standard Deviation
Properties of Standard DeviationProperties of Standard Deviation
Properties of Standard DeviationRizwan Sharif
 
Charts for Quantitative Research
Charts for Quantitative Research Charts for Quantitative Research
Charts for Quantitative Research Bethany Watson
 
Perspective: the maths of seeing
Perspective: the maths of seeingPerspective: the maths of seeing
Perspective: the maths of seeingAbhranil Das
 
Y11 m02 networks
Y11 m02 networksY11 m02 networks
Y11 m02 networksXu Wei
 
Measures of dispersion
Measures of dispersionMeasures of dispersion
Measures of dispersionJagdish Powar
 
Social network analysis basics
Social network analysis basicsSocial network analysis basics
Social network analysis basicsPradeep Kumar
 
Propteties of Standard Deviation
Propteties of Standard DeviationPropteties of Standard Deviation
Propteties of Standard DeviationSahil Jindal
 
Measure of central tendency
Measure of central tendencyMeasure of central tendency
Measure of central tendencyWaqar Abbasi
 
1 Mechanics
1 Mechanics1 Mechanics
1 MechanicsMaksim Tsvetovat
 
5 Structural Holes
5 Structural Holes5 Structural Holes
5 Structural HolesMaksim Tsvetovat
 
6 Block Modeling
6 Block Modeling6 Block Modeling
6 Block ModelingMaksim Tsvetovat
 
4 Cliques Clusters
4 Cliques Clusters4 Cliques Clusters
4 Cliques ClustersMaksim Tsvetovat
 

Contenu connexe

Tendances

Mean Deviation
Mean DeviationMean Deviation
Mean DeviationCarlo Luna
 
Leptokurtic or platokurtic distributions
Leptokurtic or platokurtic distributionsLeptokurtic or platokurtic distributions
Leptokurtic or platokurtic distributionsKen Plummer
 
Machine hw3
Machine hw3Machine hw3
Machine hw3Yi Cui
 
2.4 Scatterplots, correlation, and regression
2.4 Scatterplots, correlation, and regression2.4 Scatterplots, correlation, and regression
2.4 Scatterplots, correlation, and regressionLong Beach City College
 
Variance and standard deviation
Variance and standard deviationVariance and standard deviation
Variance and standard deviationAmrit Swaroop
 
2.3 Graphs that enlighten and graphs that deceive
2.3 Graphs that enlighten and graphs that deceive2.3 Graphs that enlighten and graphs that deceive
2.3 Graphs that enlighten and graphs that deceiveLong Beach City College
 
Scalars and Vectors Part 3
Scalars and Vectors Part 3Scalars and Vectors Part 3
Scalars and Vectors Part 3UdayKhanal
 
Subspace clustring
Subspace clustringSubspace clustring
Subspace clustringNabil Sy
 
Lecture determinants good one
Lecture determinants good oneLecture determinants good one
Lecture determinants good oneHazel Joy Chong
 
Properties of Standard Deviation
Properties of Standard DeviationProperties of Standard Deviation
Properties of Standard DeviationRizwan Sharif
 
Charts for Quantitative Research
Charts for Quantitative Research Charts for Quantitative Research
Charts for Quantitative Research Bethany Watson
 
Perspective: the maths of seeing
Perspective: the maths of seeingPerspective: the maths of seeing
Perspective: the maths of seeingAbhranil Das
 
Y11 m02 networks
Y11 m02 networksY11 m02 networks
Y11 m02 networksXu Wei
 
Measures of dispersion
Measures of dispersionMeasures of dispersion
Measures of dispersionJagdish Powar
 
Social network analysis basics
Social network analysis basicsSocial network analysis basics
Social network analysis basicsPradeep Kumar
 
Propteties of Standard Deviation
Propteties of Standard DeviationPropteties of Standard Deviation
Propteties of Standard DeviationSahil Jindal
 
Measure of central tendency
Measure of central tendencyMeasure of central tendency
Measure of central tendencyWaqar Abbasi
 

Tendances (18)

Mean Deviation
Mean DeviationMean Deviation
Mean Deviation
 
Leptokurtic or platokurtic distributions
Leptokurtic or platokurtic distributionsLeptokurtic or platokurtic distributions
Leptokurtic or platokurtic distributions
 
Machine hw3
Machine hw3Machine hw3
Machine hw3
 
2.4 Scatterplots, correlation, and regression
2.4 Scatterplots, correlation, and regression2.4 Scatterplots, correlation, and regression
2.4 Scatterplots, correlation, and regression
 
Variance and standard deviation
Variance and standard deviationVariance and standard deviation
Variance and standard deviation
 
3.3
3.33.3
3.3
 
2.3 Graphs that enlighten and graphs that deceive
2.3 Graphs that enlighten and graphs that deceive2.3 Graphs that enlighten and graphs that deceive
2.3 Graphs that enlighten and graphs that deceive
 
Scalars and Vectors Part 3
Scalars and Vectors Part 3Scalars and Vectors Part 3
Scalars and Vectors Part 3
 
Subspace clustring
Subspace clustringSubspace clustring
Subspace clustring
 
Lecture determinants good one
Lecture determinants good oneLecture determinants good one
Lecture determinants good one
 
Properties of Standard Deviation
Properties of Standard DeviationProperties of Standard Deviation
Properties of Standard Deviation
 
Charts for Quantitative Research
Charts for Quantitative Research Charts for Quantitative Research
Charts for Quantitative Research
 
Perspective: the maths of seeing
Perspective: the maths of seeingPerspective: the maths of seeing
Perspective: the maths of seeing
 
Y11 m02 networks
Y11 m02 networksY11 m02 networks
Y11 m02 networks
 
Measures of dispersion
Measures of dispersionMeasures of dispersion
Measures of dispersion
 
Social network analysis basics
Social network analysis basicsSocial network analysis basics
Social network analysis basics
 
Propteties of Standard Deviation
Propteties of Standard DeviationPropteties of Standard Deviation
Propteties of Standard Deviation
 
Measure of central tendency
Measure of central tendencyMeasure of central tendency
Measure of central tendency
 

En vedette

En vedette (6)

1 Mechanics
1 Mechanics1 Mechanics
1 Mechanics
 
5 Structural Holes
5 Structural Holes5 Structural Holes
5 Structural Holes
 
6 Block Modeling
6 Block Modeling6 Block Modeling
6 Block Modeling
 
4 Cliques Clusters
4 Cliques Clusters4 Cliques Clusters
4 Cliques Clusters
 
5 Structural Holes
5 Structural Holes5 Structural Holes
5 Structural Holes
 
2 Graph Theory
2 Graph Theory2 Graph Theory
2 Graph Theory
 

Similaire à 6 Concor

Hierarchical clustering
Hierarchical clusteringHierarchical clustering
Hierarchical clusteringishmecse13
 
Statistical Clustering
Statistical ClusteringStatistical Clustering
Statistical Clusteringtim_hare
 
CLUSTER ANALYSIS ALGORITHMS.pptx
CLUSTER ANALYSIS ALGORITHMS.pptxCLUSTER ANALYSIS ALGORITHMS.pptx
CLUSTER ANALYSIS ALGORITHMS.pptxShwetapadmaBabu1
 
Clustering-dendogram.pptx
Clustering-dendogram.pptxClustering-dendogram.pptx
Clustering-dendogram.pptxANKIT915111
 
Clustering Algorithms for Data Stream
Clustering Algorithms for Data StreamClustering Algorithms for Data Stream
Clustering Algorithms for Data StreamIRJET Journal
 
Slide-TIF311-DM-10-11.ppt
Slide-TIF311-DM-10-11.pptSlide-TIF311-DM-10-11.ppt
Slide-TIF311-DM-10-11.pptImXaib
 
Slide-TIF311-DM-10-11.ppt
Slide-TIF311-DM-10-11.pptSlide-TIF311-DM-10-11.ppt
Slide-TIF311-DM-10-11.pptSandinoBerutu1
 
ML basic & clustering
ML basic & clusteringML basic & clustering
ML basic & clusteringmonalisa Das
 
K Means Clustering Algorithm | K Means Clustering Example | Machine Learning ...
K Means Clustering Algorithm | K Means Clustering Example | Machine Learning ...K Means Clustering Algorithm | K Means Clustering Example | Machine Learning ...
K Means Clustering Algorithm | K Means Clustering Example | Machine Learning ...Simplilearn
 
Machine learning session9(clustering)
Machine learning session9(clustering)Machine learning session9(clustering)
Machine learning session9(clustering)Abhimanyu Dwivedi
 
Semi-Supervised Discriminant Analysis Based On Data Structure
Semi-Supervised Discriminant Analysis Based On Data StructureSemi-Supervised Discriminant Analysis Based On Data Structure
Semi-Supervised Discriminant Analysis Based On Data Structureiosrjce
 
SkNoushadddoja_28100119039.pptx
SkNoushadddoja_28100119039.pptxSkNoushadddoja_28100119039.pptx
SkNoushadddoja_28100119039.pptxPrakasBhowmik
 
Line uo,please
Line uo,pleaseLine uo,please
Line uo,pleaseheba_ahmad
 
Bounded Approaches in Radio Labeling Square Grids -- Dev Ananda
Bounded Approaches in Radio Labeling Square Grids -- Dev AnandaBounded Approaches in Radio Labeling Square Grids -- Dev Ananda
Bounded Approaches in Radio Labeling Square Grids -- Dev AnandaDev Ananda
 

Similaire à 6 Concor (20)

Hierarchical clustering
Hierarchical clusteringHierarchical clustering
Hierarchical clustering
 
Statistical Clustering
Statistical ClusteringStatistical Clustering
Statistical Clustering
 
CLUSTER ANALYSIS ALGORITHMS.pptx
CLUSTER ANALYSIS ALGORITHMS.pptxCLUSTER ANALYSIS ALGORITHMS.pptx
CLUSTER ANALYSIS ALGORITHMS.pptx
 
Document 8 1.pdf
Document 8 1.pdfDocument 8 1.pdf
Document 8 1.pdf
 
Clustering-dendogram.pptx
Clustering-dendogram.pptxClustering-dendogram.pptx
Clustering-dendogram.pptx
 
[PPT]
[PPT][PPT]
[PPT]
 
Clique
Clique Clique
Clique
 
Project
ProjectProject
Project
 
Clustering Algorithms for Data Stream
Clustering Algorithms for Data StreamClustering Algorithms for Data Stream
Clustering Algorithms for Data Stream
 
Slide-TIF311-DM-10-11.ppt
Slide-TIF311-DM-10-11.pptSlide-TIF311-DM-10-11.ppt
Slide-TIF311-DM-10-11.ppt
 
Slide-TIF311-DM-10-11.ppt
Slide-TIF311-DM-10-11.pptSlide-TIF311-DM-10-11.ppt
Slide-TIF311-DM-10-11.ppt
 
Graph clustering
Graph clusteringGraph clustering
Graph clustering
 
ML basic & clustering
ML basic & clusteringML basic & clustering
ML basic & clustering
 
K Means Clustering Algorithm | K Means Clustering Example | Machine Learning ...
K Means Clustering Algorithm | K Means Clustering Example | Machine Learning ...K Means Clustering Algorithm | K Means Clustering Example | Machine Learning ...
K Means Clustering Algorithm | K Means Clustering Example | Machine Learning ...
 
Machine learning session9(clustering)
Machine learning session9(clustering)Machine learning session9(clustering)
Machine learning session9(clustering)
 
E017373946
E017373946E017373946
E017373946
 
Semi-Supervised Discriminant Analysis Based On Data Structure
Semi-Supervised Discriminant Analysis Based On Data StructureSemi-Supervised Discriminant Analysis Based On Data Structure
Semi-Supervised Discriminant Analysis Based On Data Structure
 
SkNoushadddoja_28100119039.pptx
SkNoushadddoja_28100119039.pptxSkNoushadddoja_28100119039.pptx
SkNoushadddoja_28100119039.pptx
 
Line uo,please
Line uo,pleaseLine uo,please
Line uo,please
 
Bounded Approaches in Radio Labeling Square Grids -- Dev Ananda
Bounded Approaches in Radio Labeling Square Grids -- Dev AnandaBounded Approaches in Radio Labeling Square Grids -- Dev Ananda
Bounded Approaches in Radio Labeling Square Grids -- Dev Ananda
 

Plus de Maksim Tsvetovat

11 Strength Of Strong Ties
11 Strength Of Strong Ties11 Strength Of Strong Ties
11 Strength Of Strong TiesMaksim Tsvetovat
 
12 Cognitive Social Structure
12 Cognitive Social Structure12 Cognitive Social Structure
12 Cognitive Social StructureMaksim Tsvetovat
 

Plus de Maksim Tsvetovat (7)

15 Orgahead
15 Orgahead15 Orgahead
15 Orgahead
 
14 Dynamic Networks
14 Dynamic Networks14 Dynamic Networks
14 Dynamic Networks
 
11 Strength Of Strong Ties
11 Strength Of Strong Ties11 Strength Of Strong Ties
11 Strength Of Strong Ties
 
12 Cognitive Social Structure
12 Cognitive Social Structure12 Cognitive Social Structure
12 Cognitive Social Structure
 
11 Contagion
11 Contagion11 Contagion
11 Contagion
 
10 Strength Of Weak Ties
10 Strength Of Weak Ties10 Strength Of Weak Ties
10 Strength Of Weak Ties
 
6 Block Modeling
6 Block Modeling6 Block Modeling
6 Block Modeling
 

Dernier

Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationSlibray Presentation
 
The State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptxThe State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptxLoriGlavin3
 
Generative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information DevelopersGenerative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information DevelopersRaghuram Pandurangan
 
Advanced Computer Architecture – An Introduction
Advanced Computer Architecture – An IntroductionAdvanced Computer Architecture – An Introduction
Advanced Computer Architecture – An IntroductionDilum Bandara
 
SAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxSAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxNavinnSomaal
 
What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024Stephanie Beckett
 
DevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenDevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenHervé Boutemy
 
Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 3652toLead Limited
 
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdfHyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdfPrecisely
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Mark Simos
 
From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .Alan Dix
 
Moving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdfMoving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdfLoriGlavin3
 
Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupFlorian Wilhelm
 
How to write a Business Continuity Plan
How to write a Business Continuity PlanHow to write a Business Continuity Plan
How to write a Business Continuity PlanDatabarracks
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii SoldatenkoFwdays
 
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek SchlawackFwdays
 
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024BookNet Canada
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebUiPathCommunity
 
TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024Lonnie McRorey
 

Dernier (20)

Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck Presentation
 
The State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptxThe State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptx
 
Generative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information DevelopersGenerative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information Developers
 
Advanced Computer Architecture – An Introduction
Advanced Computer Architecture – An IntroductionAdvanced Computer Architecture – An Introduction
Advanced Computer Architecture – An Introduction
 
SAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxSAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptx
 
What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024
 
DevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenDevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache Maven
 
Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365
 
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdfHyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
 
From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .
 
Moving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdfMoving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdf
 
Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project Setup
 
How to write a Business Continuity Plan
How to write a Business Continuity PlanHow to write a Business Continuity Plan
How to write a Business Continuity Plan
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko
 
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
 
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio Web
 
TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024
 
DMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special EditionDMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special Edition
 

6 Concor

  • 2.
  • 3.
  • 4.
  • 5.
  • 6.
  • 7.
  • 8.
  • 9. Example BOS/NY/DC/CHI MIA SF/LA/SEA DEN BOS/NY/DC/CHI 0 1075 2013 996 MIA 1075 0 2687 2037 SF/LA/SEA 2054 2687 0 1059 DEN 996 2037 1059 0 BOS/NY/DC/CHI/DEN 0 1075 1059 MIA 1075 0 2687 SF/LA/SEA 1059 2687 0 BOS/NY/DC/CHI/DEN/SF/LA/SEA 0 1075 MIA 1075 0
  • 10.
  • 11.
  • 12.
  • 13.
  • 14.
  • 15.
  • 16.
  • 17.
  • 18.
  • 19.
  • 20.
  • 21.
  • 22.
  • 23.
  • 24.