An Iterative Relocation Algorithm for Classifying Symbolic Data

Author:

Gordon Allan D.

Publisher

Springer Berlin Heidelberg

Reference17 articles.

1. BOCK, H. H. and DIDAY, E. (Eds.) (2000): Analysis of Symbolic Data: Exploratory Methods for Extracting Statistical Information from Complex Data. Springer-Verlag, Berlin.

2. CHAVENT, M. (2000): Criterion-Based Divisive Clustering for Symbolic Data. In: H. H. Bock and E. Diday (Eds.): Analysis of Symbolic Data: Exploratory Methods for Extracting Statistical Information from Complex Data. Springer-Verlag, Berlin, 299–311.

3. DASKIN, M. S. (1995): Network and Discrete Location Models, Algorithms, and Applications. Wiley, New York.

4. DE CARVALHAO, F. A. T. (1994): Proximity Coefficients Between Boolean Symbolic Objects. In: E. Diday, Y. Lechevallier, M. Schader, P. Bertrand and B. Burtschy (Eds.): New Approaches in Classification and Data Analysis. Springer-Verlag,. Berlin, 387–394.

5. DE CARVALHAO, F. A. T. (1998): Extension Based Proximities Between Constrained Boolean Symbolic Objects. In: C. Hayashi, N. Ohsumi, K. Yajima, Y. Tanaka, H.-H. Bock and Y. Baba (Eds.): Data Science, Classification, and Related Methods. Springer-Verlag, Tokyo, 370–378.

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