×

Single-link characteristics of a mode-seeking clustering algorithm. (English) Zbl 0395.62044


MSC:

62H30 Classification and discrimination; cluster analysis (statistical aspects)
68T10 Pattern recognition, speech recognition
Full Text: DOI

References:

[1] Duda, R. O.; Hart, P. E., Pattern Classification and Scene Analysis (1971), John Wiley: John Wiley New York
[2] Kittler, J., A locally sensitive method for cluster analysis, Pattern Recognition, 8, 23 (1976) · Zbl 0347.68051
[3] Koontz, W. L.; Narendra, P. M.; Fukunaga, K., A graph-theoretic approach to nonparametric cluster analysis, IEEE Trans. Comput., 25, 936 (September 1976) · Zbl 0332.68080
[4] Katz, J. O.; Rohlf, F. J., Function-point cluster analysis, Syst. Zool., 22, 295 (1973)
[5] Gitman, I.; Levine, M. D., An algorithm for detecting unimodel fuzzy sets and its application as a clustering technique, IEEE Trans. Comput., 19, 583 (July 1970) · Zbl 0194.48101
[6] Dubes, R. C.; Jain, A. K., Clustering techniques: the user’s dilemma, Pattern Recognition, 8, 247 (1976)
[7] Zahn, C. T., Graph-theoretic methods for detecting and describing Gestalt clusters, IEEE Trans. Comput., 20, 68 (January 1971) · Zbl 0264.68040
[8] Johnson, S. C., Hierarchical clustering schemes, Psychometrika, 32, 241 (1967) · Zbl 1367.62191
[9] Gower, J. C.; Ross, G. J.S., Minimum spanning tree and single-linkage cluster analysis, Appl. Stat., 18, 54 (1969)
[10] Sibson, R., SLINK-optimally efficient algorithm for single-link cluster method, Comp. J., 16, 30 (1973)
[11] Rohlf, F. J., Hierarchical clustering using minimum spanning tree, Comp. J., 16, 93 (1973)
[12] Hubert, L., Approximate evaluation technique for the single-link and complete-link hierarchical clustering procedure, J. Am. statist. Ass., 9, 968 (1974)
This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. In some cases that data have been complemented/enhanced by data from zbMATH Open. This attempts to reflect the references listed in the original paper as accurately as possible without claiming completeness or a perfect matching.