The Problem of Cluster Analysis

Author:

Owsiński Jan W.

Publisher

Springer International Publishing

Reference25 articles.

1. Bação, F., Lobo, V., & Painho, M. (2005). Self-organizing maps as substitutes for k-means clustering. In V. S. Sunderam et al (Eds.), ICCS 2005, (LNCS 3516, pp. 476–483).

2. Ball, G., & Hall D. (1965). ISODATA, a novel method of data analysis and pattern classification. Technical report NTIS AD 699616. Stanford Research Institute, Stanford, CA.

3. Bezdek, J. C. (1981). Pattern recognition with fuzzy objective function algorithms. New York: Plenum Press.

4. Chiu, S. L. (1994). Fuzzy model identification based on cluster estimation. Journal of Intelligent & fuzzy systems, 2, 267–278.

5. Ester, M., Kriegel, H.-P., Sander, J., & Xu, X.-W. (1996). A density-based algorithm for discovering clusters in large spatial databases with noise. In E. Simondis, J. Han, U. M. Fayyad. (Eds.), Proceeding of the Second International Conference on Knowledge Discovery and Data Mining (KDD-96) (pp 226–231). AAAI Press.

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