Parameter modification for clustering criteria
type: Item
instance of: scholarly article
title: Parameter modification for clustering criteria
zbMATH Open document ID: 0662.62066
DOI: 10.1007/BF01896986
author: Michael P. Windham
published in: Journal of Classification
publication date: 1987-01-01T00:00:00Z
review text: The more ways there are of understanding a clustering technique, the more effectively the results can be analyzed and used. I will give a general procedure, called parameter modification, to obtain from a clustering criterion a variety of equivalent forms of the criterion. These alternative forms reveal aspects of the technique that are not necessarily apparent in the original formulation. This procedure is successful in improving the understanding of a significant number of clustering techniques. The insight obtained will be illustrated by applying parameter modification to partitioning, mixture and fuzzy clustering methods, resulting in a unified approach to the study of these methods and a general algorithm for optimizing them.
Mathematics Subject Classification ID: 62H30
Mathematics Subject Classification ID: 65C99
zbMATH DE Number: 4082762
zbMATH Keywords: classification
zbMATH Keywords: numerical classification
zbMATH Keywords: multivariate mixture analysis
zbMATH Keywords: numerical optimization
zbMATH Keywords: parameter modification
zbMATH Keywords: partitioning
zbMATH Keywords: fuzzy clustering
MaRDI profile type: Publication
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full work available at URL: https://doi.org/10.1007/bf01896986
OpenAlex ID: W1970477726
description: scientific article; zbMATH DE number 4082762