SlideShare a Scribd company logo
1 of 42
PRESENTATION ON CLUSTER ANALYSIS Marketing Research Methods Presented by:
Cluster analysis  ,[object Object],[object Object],[object Object]
Cluster Analysis ,[object Object]
Cluster Analysis and marketing research ,[object Object],[object Object],[object Object],[object Object]
Steps to conduct a Cluster Analysis ,[object Object],[object Object],[object Object],[object Object]
 
Defining distance: the Euclidean distance ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Clustering procedures ,[object Object],[object Object],[object Object],[object Object],[object Object]
Agglomerative clustering
Agglomerative clustering ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
K-means clustering ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Hierarchical vs Non hierarchical methods ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Suggested approach ,[object Object],[object Object]
Defining the number of clusters: elbow rule (1) n
Elbow rule (2): the scree diagram
Validating the analysis ,[object Object],[object Object],[object Object]
SPSS Example
 
Number of clusters: 10 – 6 = 4
 
Open the dataset supermarkets.sav ,[object Object],[object Object],[object Object]
The supermarkets.sav dataset
Run Principal Components Analysis and save scores ,[object Object],[object Object],[object Object]
Cluster analysis: basic steps ,[object Object],[object Object],[object Object],[object Object]
Analyse / Classify
Select the component scores Select from here Untick this
Select Ward’s algorithm Click here first Select method here
Output: Agglomeration schedule
Number of clusters Identify the step where the “distance coefficients” makes a bigger jump
The scree diagram (Excel needed)
Number of clusters ,[object Object],[object Object],[object Object],[object Object]
Now repeat the analysis ,[object Object],[object Object],[object Object],[object Object]
K-means
K-means dialog box Specify number of clusters
Save cluster membership Click here first Thick here
Final output
Cluster membership
Component meaning (tutorial week 5) 1. “Old Rich Big Spender” 3. Vegetarian TV lover 4. Organic radio listener 2. Family shopper 5. Vegetarian TV and web hater
 
Cluster interpretation through mean component values ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Which cluster to target? ,[object Object],[object Object],[object Object]
Representation of factors 1 and 4 (and cluster membership)

More Related Content

What's hot (20)

Fuzzy Clustering(C-means, K-means)
Fuzzy Clustering(C-means, K-means)Fuzzy Clustering(C-means, K-means)
Fuzzy Clustering(C-means, K-means)
 
Hierarchical Clustering
Hierarchical ClusteringHierarchical Clustering
Hierarchical Clustering
 
Malhotra20
Malhotra20Malhotra20
Malhotra20
 
Cluster analysis
Cluster analysisCluster analysis
Cluster analysis
 
Cluster
ClusterCluster
Cluster
 
Hierachical clustering
Hierachical clusteringHierachical clustering
Hierachical clustering
 
Cluster Analysis
Cluster AnalysisCluster Analysis
Cluster Analysis
 
Statistics for data science
Statistics for data science Statistics for data science
Statistics for data science
 
Clustering
ClusteringClustering
Clustering
 
Unsupervised learning clustering
Unsupervised learning clusteringUnsupervised learning clustering
Unsupervised learning clustering
 
Discriminant Analysis-lecture 8
Discriminant Analysis-lecture 8Discriminant Analysis-lecture 8
Discriminant Analysis-lecture 8
 
Clustering, k-means clustering
Clustering, k-means clusteringClustering, k-means clustering
Clustering, k-means clustering
 
K means Clustering Algorithm
K means Clustering AlgorithmK means Clustering Algorithm
K means Clustering Algorithm
 
Hierarchical clustering
Hierarchical clusteringHierarchical clustering
Hierarchical clustering
 
Introduction to Linear Discriminant Analysis
Introduction to Linear Discriminant AnalysisIntroduction to Linear Discriminant Analysis
Introduction to Linear Discriminant Analysis
 
Introduction To XL-Miner
Introduction To XL-MinerIntroduction To XL-Miner
Introduction To XL-Miner
 
Hierarchical clustering
Hierarchical clustering Hierarchical clustering
Hierarchical clustering
 
Random Forest Algorithm - Random Forest Explained | Random Forest In Machine ...
Random Forest Algorithm - Random Forest Explained | Random Forest In Machine ...Random Forest Algorithm - Random Forest Explained | Random Forest In Machine ...
Random Forest Algorithm - Random Forest Explained | Random Forest In Machine ...
 
Discriminant analysis
Discriminant analysisDiscriminant analysis
Discriminant analysis
 
Classification with Naive Bayes
Classification with Naive BayesClassification with Naive Bayes
Classification with Naive Bayes
 

Similar to Cluster spss week7

SPSS Step-by-Step Tutorial and Statistical Guides by Statswork
SPSS Step-by-Step Tutorial and Statistical Guides by StatsworkSPSS Step-by-Step Tutorial and Statistical Guides by Statswork
SPSS Step-by-Step Tutorial and Statistical Guides by StatsworkStats Statswork
 
Cluster analysis
Cluster analysisCluster analysis
Cluster analysis緯鈞 沈
 
Read first few slides cluster analysis
Read first few slides cluster analysisRead first few slides cluster analysis
Read first few slides cluster analysisKritika Jain
 
Clusteranalysis 121206234137-phpapp01
Clusteranalysis 121206234137-phpapp01Clusteranalysis 121206234137-phpapp01
Clusteranalysis 121206234137-phpapp01deepti gupta
 
MODULE 4_ CLUSTERING.pptx
MODULE 4_ CLUSTERING.pptxMODULE 4_ CLUSTERING.pptx
MODULE 4_ CLUSTERING.pptxnikshaikh786
 
ClustIII.ppt
ClustIII.pptClustIII.ppt
ClustIII.pptSueMiu
 
Lecture 11
Lecture 11Lecture 11
Lecture 11Jeet Das
 
Chap8 basic cluster_analysis
Chap8 basic cluster_analysisChap8 basic cluster_analysis
Chap8 basic cluster_analysisguru_prasadg
 
Capter10 cluster basic
Capter10 cluster basicCapter10 cluster basic
Capter10 cluster basicHouw Liong The
 
Capter10 cluster basic : Han & Kamber
Capter10 cluster basic : Han & KamberCapter10 cluster basic : Han & Kamber
Capter10 cluster basic : Han & KamberHouw Liong The
 
Unsupervised learning Algorithms and Assumptions
Unsupervised learning Algorithms and AssumptionsUnsupervised learning Algorithms and Assumptions
Unsupervised learning Algorithms and Assumptionsrefedey275
 
machine learning - Clustering in R
machine learning - Clustering in Rmachine learning - Clustering in R
machine learning - Clustering in RSudhakar Chavan
 
Data Mining Concepts and Techniques, Chapter 10. Cluster Analysis: Basic Conc...
Data Mining Concepts and Techniques, Chapter 10. Cluster Analysis: Basic Conc...Data Mining Concepts and Techniques, Chapter 10. Cluster Analysis: Basic Conc...
Data Mining Concepts and Techniques, Chapter 10. Cluster Analysis: Basic Conc...Salah Amean
 
Clustering & classification
Clustering & classificationClustering & classification
Clustering & classificationJamshed Khan
 
QUALITY AND VALIDITY of cluster analysis in data minig
QUALITY AND VALIDITY of cluster analysis in data minigQUALITY AND VALIDITY of cluster analysis in data minig
QUALITY AND VALIDITY of cluster analysis in data minigsani7728264
 
QUALITY AND VALIDITY OF CLUSTER ANALYSIS
QUALITY AND VALIDITY OF CLUSTER ANALYSISQUALITY AND VALIDITY OF CLUSTER ANALYSIS
QUALITY AND VALIDITY OF CLUSTER ANALYSISguruswamyd785
 
01 Statistika Lanjut - Cluster Analysis part 1 with sound (1).pptx
01 Statistika Lanjut - Cluster Analysis  part 1 with sound (1).pptx01 Statistika Lanjut - Cluster Analysis  part 1 with sound (1).pptx
01 Statistika Lanjut - Cluster Analysis part 1 with sound (1).pptxniawiya
 

Similar to Cluster spss week7 (20)

SPSS Step-by-Step Tutorial and Statistical Guides by Statswork
SPSS Step-by-Step Tutorial and Statistical Guides by StatsworkSPSS Step-by-Step Tutorial and Statistical Guides by Statswork
SPSS Step-by-Step Tutorial and Statistical Guides by Statswork
 
Cluster analysis
Cluster analysisCluster analysis
Cluster analysis
 
Read first few slides cluster analysis
Read first few slides cluster analysisRead first few slides cluster analysis
Read first few slides cluster analysis
 
Clusteranalysis 121206234137-phpapp01
Clusteranalysis 121206234137-phpapp01Clusteranalysis 121206234137-phpapp01
Clusteranalysis 121206234137-phpapp01
 
Clusteranalysis
Clusteranalysis Clusteranalysis
Clusteranalysis
 
MODULE 4_ CLUSTERING.pptx
MODULE 4_ CLUSTERING.pptxMODULE 4_ CLUSTERING.pptx
MODULE 4_ CLUSTERING.pptx
 
ClustIII.ppt
ClustIII.pptClustIII.ppt
ClustIII.ppt
 
Lec13 Clustering.pptx
Lec13 Clustering.pptxLec13 Clustering.pptx
Lec13 Clustering.pptx
 
Lecture 11
Lecture 11Lecture 11
Lecture 11
 
Chap8 basic cluster_analysis
Chap8 basic cluster_analysisChap8 basic cluster_analysis
Chap8 basic cluster_analysis
 
Capter10 cluster basic
Capter10 cluster basicCapter10 cluster basic
Capter10 cluster basic
 
Capter10 cluster basic : Han & Kamber
Capter10 cluster basic : Han & KamberCapter10 cluster basic : Han & Kamber
Capter10 cluster basic : Han & Kamber
 
Unsupervised learning Algorithms and Assumptions
Unsupervised learning Algorithms and AssumptionsUnsupervised learning Algorithms and Assumptions
Unsupervised learning Algorithms and Assumptions
 
machine learning - Clustering in R
machine learning - Clustering in Rmachine learning - Clustering in R
machine learning - Clustering in R
 
Data Mining Concepts and Techniques, Chapter 10. Cluster Analysis: Basic Conc...
Data Mining Concepts and Techniques, Chapter 10. Cluster Analysis: Basic Conc...Data Mining Concepts and Techniques, Chapter 10. Cluster Analysis: Basic Conc...
Data Mining Concepts and Techniques, Chapter 10. Cluster Analysis: Basic Conc...
 
Clustering & classification
Clustering & classificationClustering & classification
Clustering & classification
 
QUALITY AND VALIDITY of cluster analysis in data minig
QUALITY AND VALIDITY of cluster analysis in data minigQUALITY AND VALIDITY of cluster analysis in data minig
QUALITY AND VALIDITY of cluster analysis in data minig
 
QUALITY AND VALIDITY OF CLUSTER ANALYSIS
QUALITY AND VALIDITY OF CLUSTER ANALYSISQUALITY AND VALIDITY OF CLUSTER ANALYSIS
QUALITY AND VALIDITY OF CLUSTER ANALYSIS
 
01 Statistika Lanjut - Cluster Analysis part 1 with sound (1).pptx
01 Statistika Lanjut - Cluster Analysis  part 1 with sound (1).pptx01 Statistika Lanjut - Cluster Analysis  part 1 with sound (1).pptx
01 Statistika Lanjut - Cluster Analysis part 1 with sound (1).pptx
 
My8clst
My8clstMy8clst
My8clst
 

Recently uploaded

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
 
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsSergiu Bodiu
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr BaganFwdays
 
What is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdfWhat is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdfMounikaPolabathina
 
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024BookNet Canada
 
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxUse of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxLoriGlavin3
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationSlibray Presentation
 
SALESFORCE EDUCATION CLOUD | FEXLE SERVICES
SALESFORCE EDUCATION CLOUD | FEXLE SERVICESSALESFORCE EDUCATION CLOUD | FEXLE SERVICES
SALESFORCE EDUCATION CLOUD | FEXLE SERVICESmohitsingh558521
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Mattias Andersson
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfAlex Barbosa Coqueiro
 
Digital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptxDigital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptxLoriGlavin3
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxMerck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxLoriGlavin3
 
"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
 
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
 
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
 
The Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsThe Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsPixlogix Infotech
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brandgvaughan
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLScyllaDB
 
SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024Lorenzo Miniero
 

Recently uploaded (20)

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
 
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platforms
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan
 
What is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdfWhat is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdf
 
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
 
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxUse of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck Presentation
 
SALESFORCE EDUCATION CLOUD | FEXLE SERVICES
SALESFORCE EDUCATION CLOUD | FEXLE SERVICESSALESFORCE EDUCATION CLOUD | FEXLE SERVICES
SALESFORCE EDUCATION CLOUD | FEXLE SERVICES
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdf
 
Digital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptxDigital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptx
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxMerck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
 
"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
 
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
 
From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .
 
The Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsThe Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and Cons
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brand
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQL
 
SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024
 

Cluster spss week7