Local fuzzy geographically weighted clustering: a new method for geodemographic segmentation

Fuzzy geographically weighted clustering has been proposed as an approach for improving fuzzy c-means algorithm when applied to geodemographic analysis. This clustering method allows a spatial entity to belong to more than one cluster with varying degrees, namely, membership values. Although fuzzy g...

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Bibliographic Details

Published in:	International journal of geographical information science : IJGIS Vol. 35; no. 1; pp. 152 - 174
Main Author:	Grekousis, George
Format:	Journal Article
Language:	English
Published:	Abingdon Taylor & Francis 02.01.2021 Taylor & Francis LLC
Subjects:	Algorithms Clustering fuzzy clustering Geodemographics Heterogeneity Heuristic methods local manhattan Particle swarm optimization Segmentation
ISSN:	1365-8816, 1362-3087, 1365-8824
Online Access:	Get full text
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