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Classification diversity measurement

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  • Anthony Scime

Abstract

Interesting classification rules can be determined by a number of measures. When searching a domain for a characterisation of unique, different, but important data an appropriate measurement is diversity. Diversity as a measure of a classification rule is based on the relative distinctness of the rule to the other rules in the rule-set. The diversity measure is the sum of the inverse of commonness of a rule's items. In this paper, diversity is derived from the simplest classification trees using techniques from statistics and information retrieval, and demonstrated using sample datasets.

Suggested Citation

  • Anthony Scime, 2018. "Classification diversity measurement," International Journal of Data Science, Inderscience Enterprises Ltd, vol. 3(2), pages 107-125.
    • Handle: RePEc:ids:ijdsci:v:3:y:2018:i:2:p:107-125
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