Clustering Variation looks for a good subset of attributes in order to improve the classification accuracy of supervised learning techniques in classification problems with a huge number of attributes involved. It first creates a ranking of attributes based on the Variation value, then divide into two groups, last using Verification method to select the best group.

Features

  • fast
  • multiable class
  • All kinds of attribute

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Machine Learning

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User Reviews

  • 3 out of 5 stars
    Hi can I have the paper and more description about clustering Variation
    1 user found this review helpful.
  • 5 out of 5 stars
    This Feature selection algorithm can choose better attribute from a dataset
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Additional Project Details

Intended Audience

Science/Research

Programming Language

Java

Related Categories

Java Machine Learning Software

Registered

2014-03-13