1. Patrick, J.F., Groenen, U., Kaymak, J.V., Rosmalen: Fuzzy clustering with Minkowski distance functions. Econometric Institute Report, EI(24), (2006)
2. Cai, J.Y., Xie, F.D., Zhang, Y.: Fuzzy c-means algorithm based on adaptive Mahalanobis distance. Comput. Eng. Appl. 174–176(2010)
3. Bezdek, J.C., Coray, C., Gunderson, R, Watson, J.: Detection and characterization of cluster substructure. SIAM J. Appl. Math. 339–372 (1981)
4. Dave, R.N.: Use of the adaptive fuzzy clustering algorithm to detect lines in digital images. Intell Robots Comput. Vision VIII 1192, pp. 600–661 (1982)
5. Dunn, J.C.: A fuzzy relative of the ISODATA process and its use in detecting compact well separated clusters. J Cybern, 32–57(1973)