Probabilistic Distance Clustering: Algorithm and Applications - Clustering Challenges in Biological Network - page 52

MOD Record , 31(2): 40-45, 2002.
[5] J. Hartigan, Clustering Algorithms . John Wiley, 1975.
[6] T. Hastie, R. Tibshirani, and J. H. Friedman, The Elements of Statistical Learning .
Springer, 2003.
[7] F. Hoppner, F. Klawonn, F. Kruse and T. Runkler, Fuzzy Cluster Analysis . John Wiley,
1999.
[8] C. Iyigun and A. Ben-Israel. Probabilistic distance clustering adjusted for cluster size.
Probability in the Engineering and Informational Sciences , to appear.
[9] C. Iyigun and A. Ben-Israel. A Probabilistic distance clustering method for multi-
facility location problems, in preparation.
[10] C. Iyigun and A. Ben-Israel. A probabilistic distance clustering for mixtures of dis-
tributions, in preparation.
[11] C. Iyigun and A. Ben-Israel. A New clustering validity criterion based on contour
approximation of data, in preparation.
[12] A. K. Jain, and R. C. Dubes. Algorithms for Clustering Data . Prentice Hall, 1988.
[13] R. Love, J. Morris and G. Wesolowsky. Facilities Location: Models and Methods .
North-Holland, 1988.
[14] P. Tan, M. Steinbach, and V. Kumar. Introduction to Data Mining . Addison Wesley,
2006.
[15] M. Teboulle. A unified continuous optimization framework to center-based clustering
methods. Journal of Machine Learning , 8: 65-102, 2007.
[16] P. Tsui. EM-GM Algorithm MATLAB Code . PAMI Research Group, University of
Waterloo, 2006.
[17] E. Weiszfeld, Sur le point par lequel la somme des distances de n points donnes est
minimum. Tohoku Math. J. , 43: 355-386, 1937.