Symbolic Clustering Algorithms using Similarity and Dissimilarity Measures

Author:

Gowda K. Chidananda,Diday E.

Publisher

Springer Berlin Heidelberg

Reference13 articles.

1. DIDAY, E. (1988): The symbolic approach in Clustering. Classification, and Related Methods of Data Analysis, H.H. Bock, ed. Elsevier, North Holland, Amsterdam.

2. DIDAY, E. (1989): Knowledge representation and Symbolic Data Analysis.Proc. 2nd Int. Workshop Data, Expert Knowledge Decision, Hamburg, 3–5.

3. DUDA, R.O. and HART, P.E.(1973): Pattern Classification and Scene Analysis, Wiley-Interscience, New York.

4. GOWDA, K. C. and DIDAY, E. (1991): Unsupervised Learning through Symbolic Clustering. Pattern Recognition Letters, 12, 259–264.

5. GOWDA, K. C. and DIDAY, E. (1991): Symbolic Clustering using a Dissimilarity Measure. Pattern Recognition, Vol.24, No.6, 567–578.

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