PICA Browser 0.9 – Integrating and Exploring Multiple Connected Datasets

PICA Browser 0.9

:: DESCRIPTION

The PICA Browser tool is a cross-platform Java application for visually exploring a soft clustering produced by integrating data from multiple connected views. The application highlights the contributions of each view and the frequency of appearance of the clusters (i.e. reliability), with the aim of providing insight into the provenance of the cluster relationships in the model. Parallel Integration Clustering Algorithm (PICA) is a new data integration approach for performing multi-view clustering in domains where two or more related datasets are available.

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::DEVELOPER

the Machine Learning Group (MLG)

:: SCREENSHOTS

:: REQUIREMENTS

  • Linux / Windows /Mac OsX
  • Java

:: DOWNLOAD

 PICA Browser

:: MORE INFORMATION