Classification diversity measurement
by Anthony Scime
International Journal of Data Science (IJDS), Vol. 3, No. 2, 2018

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.

Online publication date: Thu, 14-Jun-2018

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