Cluster Constructor On Labs

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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.

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Cluster Constructor On Labs

  1. 1. Cluster Constructor A labs.ericsson.com enabler https://labs.ericsson.com/apis/cluster-constructor/
  2. 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 2
  3. 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 3
  4. 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 4
  5. 5. Cluster Constructor Overview Application Ericsson Labs Cluster Constructor Server Application specific code REST http Interface Server http Interface Machine Learning Service Data Storage 5
  6. 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. 6
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