Numerical classification of proximity data with assignment measures

Author:

Windham Michael P.

Publisher

Springer Science and Business Media LLC

Subject

Library and Information Sciences,Statistics, Probability and Uncertainty,Psychology (miscellaneous),Mathematics (miscellaneous)

Reference11 articles.

1. ANDERSON, E. (1934), “The Irises of the Gaspe Peninsula,”Bulletin of the American Iris Society, 59, 2–5.

2. BEZDEK, J.C. (1974), “Numerical Taxonomy with Fuzzy Sets,”Journal of Mathematical Biology, 1, 57–71.

3. BEZDEK, J.C. (1981),Pattern Recognition with Fuzzy Objective Function Algorithms, New York: Plenum.

4. LIBERT, G., and ROUBENS, M. (1982), “Non-metric Fuzzy Clustering Algorithms and Their Cluster Validity,” inFuzzy Information and Decision Processes, eds. R. Gupta and E. Sanchez, New York: Elsevier, 417–425.

5. LUENBERGER, D.G. (1984),Introduction to Linear and Nonlinear Programming, (2nd ed), Reading: Addison-Wesley.

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