Journal article Open Access
Z. Zainuddin; W. K. Lye
C.M. Bishop, Neural Networks for Pattern Recognition. Oxford University Pres, New York, USA, 1995.
N. Benoudjit, M. Verleysen, On the kernel width in radial basis function networks. Neural Processing Letters 18, 2003, 139-154.
J. Moody, C.J. Darken, Fast learning in networks of locally-tuned processing unit. Neural Computation 1, 1989, 281-294.
K.Warwick, J.D. Mason and E.L. Sutanto, Neural network basis function center selection using cluster analysis. Proceeding of American Central Conference, Washington, June, 1995
J.C. Dunn, A fuzzy relative of the ISODATA process and its use n detecting compact well-separated clusters. J. Cybernet. 3, 1973, 32-57.
J. Bezdek, Pattern recognition with fuzzy objective function algorithm, Plenum Pres, NewYork, 1981.
R.L. Canon, J.Dave and J.C. Bezdek, Efficient implementation of the fuzzy cmeans clustering algorithms. IEEE Trans Pattern Arial Machine, Intell 8, 248-255.
B. Zhang, M. Hsu, U. Dayal, K-harmonic means - a data clustering algorithm, Technical Report HPL-1999-124, Hewlett -Packard Laboratories, 1999.
B. Zhang, M. Hsu, U. Dayal, K-harmonic means, in: International Workshop on Temporal, Spatial and Spatio-Temporal Data Mining, TSDM2000, Lyon, France, 12 September 2000.  G. Hammerly, C. Elken, Alternatives to the K-means algorithm that find better clusterins, in: Proceedings of the 11th International Conference on Information and Knowledge Management, 2002, pp. 600-607.  C.L. Blake, C.J. Merz, UCI repository of machine learning databases, 2008, http://archive.ics.uci.edu/ml/databases.html.