Clustering Variation

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Description

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.

Clustering Variation Web Site

Categories

Machine Learning

Features

  • fast
  • multiable class
  • All kinds of attribute

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User Reviews

  • ghadah
    1 of 5 2 of 5 3 of 5 4 of 5 5 of 5

    Hi can I have the paper and more description about clustering Variation

    Posted 06/25/2014
  • justinppchong
    1 of 5 2 of 5 3 of 5 4 of 5 5 of 5

    This Feature selection algorithm can choose better attribute from a dataset

    Posted 03/13/2014
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Additional Project Details

Intended Audience

Science/Research

Programming Language

Java

Registered

2014-03-13
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