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 :
https://search.ricest.ac.ir/dl/search/defaultta.aspx?DTC=49&DC=1117308
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