Multidimensional data clustering utilizing hybrid search strategies
type: Item
instance of: scholarly article
title: Multidimensional data clustering utilizing hybrid search strategies
zbMATH Open document ID: 0655.62068
DOI: 10.1016/0031-3203(89)90040-X
published in: Pattern Recognition
publication date: 1989-01-01T00:00:00Z
Mathematics Subject Classification ID: 62H30
Mathematics Subject Classification ID: 65C99
zbMATH DE Number: 4070079
zbMATH Keywords: multidimensional data clustering
zbMATH Keywords: hybrid search strategies
zbMATH Keywords: minimum variance clustering
zbMATH Keywords: ISODATA
zbMATH Keywords: algorithms
zbMATH Keywords: K-means algorithm
author: Mohamed A. Ismail
author: Mohamed S. Kamel
MaRDI profile type: Publication
cites work: Q4054695
cites work: Q4077958
cites work: Q4403756
cites work: Printer graphics for clustering
cites work: Q4054519
cites work: Q3875132
cites work: K-Means-Type Algorithms: A Generalized Convergence Theorem and Characterization of Local Optimality
cites work: Soft clustering of multidimensional data: A semi-fuzzy approach
cites work: Computational experiences with the exchange method. Applied to four commonly used partitioning cluster analysis criteria
full work available at URL: 0031-3203(89)90040-x
OpenAlex ID: W1977516301
description: scientific article; zbMATH DE number 4070079