A constrained \(k\)-means clustering algorithm for classifying spatial units

DOI10.1007/BF02511650zbMath1154.62348MaRDI QIDQ998906

G. Damiana Costanzo

Publication date: 30 January 2009

Published in: Statistical Methods and Applications (Search for Journal in Brave)

zbMATH Keywords

segmentationspatial data\(k\)-means clusteringconstrained optimisationcontiguity matrixregional taxonomy

Mathematics Subject Classification ID

Related Items (1)

A fuzzy clustering model for multivariate spatial time series

Uses Software

• AS 136

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Algorithm AS 136: A K-Means Clustering Algorithm
• Constrained classification: The use of a priori information in cluster analysis
• Some types of clustering with relational constraints
• Clustering with relational constraint
• Parsimonious trees
• Direct multicriteria clustering algorithms
• Some applications of graph theory to clustering
• A survey of constrained classification
• Clustering on trees
• Fuzzy partition models for fitting a set of partitions
• Conditional Clustering

This page was built for publication: A constrained \(k\)-means clustering algorithm for classifying spatial units