1. A similarity-based robust clustering method;Yang;IEEE Trans. Pattern Anal. Mach. Intell.,2004
2. Z. He, X. Xu, S. Deng, and B. Dong, "K-histograms: an efficient clustering algorithm for categorical dataset," arXiv preprint cs/0509033, 2005.
3. A comparison of categorical attribute data clustering methods," in Joint IAPR International Workshops on Statistical Techniques in Pattern Recognition (SPR) and Structural and Syntactic Pattern Recognition (SSPR);Hautamäki,2014
4. L. Kaufman and P.J. Rousseeuw, "Clustering by means of medoids," Proceedings of the Statistical Data Analysis Based on the L1–Norm and Related Methods, Vol.31, 1987.
5. A simple and fast algorithm for K-medoids clustering;Park;Expert Syst. Appl.,2009