1. P. Berkhin, “A survey of clustering data mining techniques,” in Grouping Multidimensional Data: Recent Advances in Clustering
(Springer, Heidelberg, 2006), 25–71.
https://doi.org/10.1007/3-540-28349-8_2
2. A. K. Jain and R. C. Dubes, Algorithms for
Clustering Data (Prentice Hall, Englewood Cliffs, NJ, 1988).
3. S. Ghoreyshi and J. Hosseinkhani, “Developing a clustering model based on
$$
K
$$-means algorithm in order to creating different policies for policyholders in
insurance industry,” Int. J. Adv. Comput. Sci. Inf. Technol. 4 (2), 46–53 (2015).
4. W. D. Fisher, “On grouping for maximum homogeneity,” J. Am. Stat. Assoc.
53 (284), 789–798 (1958).
5. J. MacQueen, "Some methods for classification and analysis of multivariate observations," Proc. 5th Berkeley Symp. Math. Stat. Probab. (Berkeley, USA, June 18-21, 1965