Aggregation invariance in general clustering approaches

Author:

Bavaud François

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computer Science Applications,Statistics and Probability

Reference13 articles.

1. Bavaud F (2002) Quotient dissimilarities, Euclidean embeddability, and Huygens’ weak principle. In: Jaguja K, Sokolowski A, Bock HH (eds) Classification, clustering and data analysis. Springer, New York, pp 194–202

2. Bavaud F (2006) Spectral clustering and multidimensional scaling: a unified view. In: Batagelj V, Bock HH, Ferligoj A, Ziberna A (eds) Data science and classification. Springer, New York, pp 131–139

3. Bezdek D (1981) Pattern recognition. Plenum Press, New York

4. Blumenthal LM (1953) Theory and applications of distance geometry. University Press, Oxford

5. Celeux G, Govaert G (1992) A classification EM algorithm and two stochastic versions. Comput Stat Data Anal 14: 315–332

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