1. Tan P-N, Steinbach M, Kumar V (2005) Introduction to data mining. Pearson Addison Wesley, London
2. Han J, Kamber M, Pei J (2011) Data mining: concepts and techniques, 3rd edn. Morgan Kaufmann, San Francisco
3. Aggarwal CC, Reddy CK (eds) (2013) Data clustering: algorithms and applications. CRC Press, Boca Raton, FL
4. MacQueen J (1967) Some methods for classification and analysis of multivariate observations. In: Le Cam LM, Neyman J (eds) Proceedings of the fifth Berkeley symposium on mathematical statistics and probability, vol I, statistics, 281–297
5. Arthur D, Vassilvitskii S (2007) k-means++: the advantages of careful seeding. In: Proceedings of the eighteenth annual ACM-SIAM symposium on discrete algorithms. Society for Industrial and Applied Mathematics Philadelphia, PA, pp 1027–1035