An adaptive heuristic for feature selection based on complementarity

Sumanta Singha, Prakash P. Shenoy
  • Machine Learning, June 2018, Springer Science + Business Media
  • DOI: 10.1007/s10994-018-5728-y

Selecting a good subset of features for classification

What is it about?

We select a best subset of features using information theory, especially the notion of complementarity where a subset of features is worth more than the the individual features in the subset. We minimize redundancy, maximize complementarity, while keeping the subset of features as small as possible.

Why is it important?

Our feature subset selection helps build better classifiers regardless of the method used for classification.

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The following have contributed to this page: Distinguished Professor Prakash Pundalik Shenoy