The Cluster Constructor enabler allows a developer to upload a file with item properties e.g. user behavior data. The enabler will then group (or cluster) the most related items with regards to similarities in the properties supplied. Cluster Constructor offers a RESTful API allowing you to analyze your data. The result essentially helps your service to distinguish complex patterns and make intelligent decisions.

1. Cluster Constructor
A labs.ericsson.com enabler
https://labs.ericsson.com/apis/cluster-constructor/

2. Cluster Constructor
Create services that make intelligent decisions based on
information from machine learning
The result essentially helps your service to distinguish
complex patterns and make intelligent decisions
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3. Why Cluster Constructor?
Most available Machine Learning Tools are
complex and requires lot of know how
Most developers have data sets to evaluate
but no tools to do so
Cluster Constructor enables on line data
processing
Cluster Constructor from Ericsson Labs is a
Machine Learning Enabler developed to help
with the complexity of Data analysis
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4. Main Features of Cluster Constructor
Cluster Constructor is a service for finding
clusters in a data set
There are two main components to the
service
– Principal Component analysis: Dimensionality
reduction is accomplished by choosing enough
eigenvectors to account for 95 percentage of the
variance in the original data.
– K-means clustering: can be performed on the
original data or in the reduced dimension space.
Online processing of data sets
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5. Cluster Constructor Overview
Application Ericsson Labs
Cluster Constructor
Server
Application
specific code REST http Interface
Server
http Interface
Machine Learning
Service
Data Storage
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6. Client side development
No download or installation is required to use the
enabler
To use the enabler simply upload a data set and start
getting information about your clusters as soon as the calculation
is done in a RESTful manner
Example Methods:
POST methods
/[apikey]/datasets/
Upload a dataset.
PUT methods
/[apikey]/datasets/[dataset]/clusters/
Compute and save clusters.
GET methods
/[apikey]/datasets/[dataset]/profiles/
Get all profiles from dataset.
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