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An Algorithm for Determining the Topological Dimensionality of Point Clusters
December 1975 (vol. 24 no. 12)
pp. 1175-1182
D.H. Schwartzmann, Department of Computer Science, Chinese University of Hong Kong
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.
Index Terms:
Clustering, intrinsic dimensionality, minimum spanning tree, multidimensional scaling, nonlinear mapping, pattern recognition, topological dimensionality.
Citation:
D.H. Schwartzmann, J.J. Vidal, "An Algorithm for Determining the Topological Dimensionality of Point Clusters," IEEE Transactions on Computers, vol. 24, no. 12, pp. 1175-1182, Dec. 1975, doi:10.1109/T-C.1975.224161
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