References
- M. R. Anderberg, Cluster Analysis for Application, Academic Press, New York, 1973
- R. O. Duda and P. E. Hart, Pattern Classification and Scene Analysis, Wiley, New York, 1973
- J. A. Hartigan, Clustering Algorithms, Wiley, New York, 1975
- J. C. Bezdek, Pattern Recognition with Fuzzy Objective Function Algorithms, Plenum Press, New York, 1981
- A. K. Jain, R. C. Dubes, Algorithms for clustering, Prentice-Hall, Englewood Cliffs, NJ, 1988
- L. Kaufmann P. J. Rousseeuw, Finding Groups in Data: An Introduction to Cluster Analysis, Wiley, New York, 1990
- B. S. Everitt, Cluster Analysis, 3rd Ed., Edward Arnold, London, 1993
- F. Hoppner, F. Klawonn, R. Kruse and T. Runkler, Fuzzy Cluster Analysis: Methods for Classification, Data Analysis and Image Recognition, Wiley, New York, 1999
- S. H. Kwon, 'Threshold selection based on cluster analysis,' Pattern Recognition Letters, Vol. 25, pp. 1045- I050, 2004 https://doi.org/10.1016/j.patrec.2004.03.001
- J. C. Dunn, 'A fuzzy relative of the ISODATA process and its use in detecthg compact well-separated clusters,' J. Cybern. Vol. 3, pp. 32-57, 1973 https://doi.org/10.1080/01969727308546046
- D. E. Gustafson and W. C. Kessel, 'Fuzzy clustering with a fuzzy covariance matrix,' in Proc. of the IEEE Conf. on Decision Control, San Diego, CA, pp.761-766, 1979
- R. Krishnapuram and J. M. Keller, 'A Possibilistic Approach to Clustering,' IEEE Trans. Fuzzy Syst., Vol. 1, No.2, pp.98-110, 1993 https://doi.org/10.1109/91.227387
- R. Yager and D. P. Filev, 'Approximate clustering via the mountain method,' IEEE Trans. Syst., Man, and Cybertn., Vol. 24, No.8, pp. 1279-1284, 1994 https://doi.org/10.1109/21.299710
- P. J. Rouseeuw, L. Kaufmann, and E. Trauwaert, 'Fuzzy clustering using scatter matrices,' Comput. Statist. Data Anal., Vol. 23, pp. 135-151, 1996 https://doi.org/10.1016/S0167-9473(96)00026-6
- N. R. Pal, N. K. Pal and J. C. Bezdek, 'A Mixed c-Means Clustering Model,' in Proc. FUZZ-IEEE'97, pp. 11-21, 1997
- R. Krichnapuram and J. Kim, 'Clustering algorithms based on volume criteria,' IEEE Trans. Fuzzy Systems, Vol. 8, pp. 228-236, 2000 https://doi.org/10.1109/91.842156
- K. L. Wu, J. Yu, and M. S. Yang, 'A novel fuzzy clustering algorithm based on a fuzzy scatter matrix with optimality tests,' Pattern Recognition Letters, (to be published)
- J. C. Bezdek, 'Cluster validity with fuzzy sets,' J. Cybernet. Vol. 3, No.3, pp. 58-72, 1974
- J. C. Bezdek, 'Mathematical models for systematics and taxonomy,' in Proc. 8th Int. Conf Numerical Taxonomy, G. Estabrook, Ed., Freeman, San Franscisco, CA, pp. 143-166, 1975
- Y. Fukuyama and M. Sugeno, 'A new method of choosing the number of clusters for the fuzzy c-means method,' in Proc. 5th Fuzzy Syst. Symp., pp. 247-250, 1989 (in Japanese)
- X. L. Xie and G. A. Beni, 'Validity measure for fuzzy clustering,' IEEE Trans. Pattern and Machine Intell., Vol. 13, No.8, pp. 841-846, 1991 https://doi.org/10.1109/34.85677
- J. C. Bezdek and N. R. Pal, 'Some new indexes of cluster validity,' IEEE Trans. Syst. Man Cybern., Vol. 28, No.3, pp. 301-315, 1998 https://doi.org/10.1109/3477.678624
- S. H. Kwon, 'Cluster validity index for fuzzy clustering,' Electronics Letters, Vol. 34, No. 22, pp. 2176-2177, 1998 https://doi.org/10.1049/el:19981523
- D. W. Kim, K. H. Lee and D. Lee, 'On cluster validity index for estimation of the optimal number of fuzzy clusters,' Pattern Recognition, Vol. 37, pp. 2009-2025, 2004 https://doi.org/10.1016/j.patcog.2004.04.007
- A. M. Bensaid, L. O. Hall, J. C. Bezdek, L. P. Clarke, M. L. Silbiger, J. A. Arrington, and R. F. Murtagh, 'Validity-guided (re)clustering with application to image segmentation,' IEEE Trans. Fuzzy Systems, Vol. 4, No. 2, pp. 112-123, 1996 https://doi.org/10.1109/91.493905
Cited by
- Density and Frequency-Aware Cluster Identification for Spatio-Temporal Sequence Data vol.93, pp.1, 2017, https://doi.org/10.1007/s11277-016-3937-x