A Measure of Distance for Cluster Analysis based on Fuzzy Sets

Miyamoto S (1987). A Measure of Distance for Cluster Analysis based on Fuzzy Sets. IIASA Working Paper. IIASA, Laxenburg, Austria: WP-87-042

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Abstract

This paper deals with a measure of distance for cluster analysis. The distance here is defined as a generalization of similarity measures of binary variables using fuzzy set theory. It is proved that the distance introduced in this paper satisfies the triangular inequality. Two algorithms are developed and their convergence is proved.

Item Type: Monograph (IIASA Working Paper)
Research Programs: System and Decision Sciences - Core (SDS)
Depositing User: IIASA Import
Date Deposited: 15 Jan 2016 01:58
Last Modified: 18 Nov 2016 18:06
URI: http://pure.iiasa.ac.at/3010

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