DocumentCode
1117308
Title
An Algorithm for Determining the Topological Dimensionality of Point Clusters
Author
Schwartzmann, Didier H. ; Vidal, Jacques J.
Author_Institution
Department of Computer Science, Chinese University of Hong Kong
Issue
12
fYear
1975
Firstpage
1175
Lastpage
1182
Abstract
The main thrust of this paper is to present a new algorithm for the analysis of structure in multivariate data point clusters from the standpoint of intrinsic (topological) dimensionality.
Keywords
Clustering, intrinsic dimensionality, minimum spanning tree, multidimensional scaling, nonlinear mapping, pattern recognition, topological dimensionality.; Algorithm design and analysis; Clustering algorithms; Computer science; Data analysis; Displays; Multidimensional systems; Pattern recognition; Psychology; Psychometric testing; Shape; Clustering, intrinsic dimensionality, minimum spanning tree, multidimensional scaling, nonlinear mapping, pattern recognition, topological dimensionality.;
fLanguage
English
Journal_Title
Computers, IEEE Transactions on
Publisher
ieee
ISSN
0018-9340
Type
jour
DOI
10.1109/T-C.1975.224161
Filename
1672754
Link To Document