Charrad M., Ghazzali N., Boiteau V., Niknafs A.: NbClust: An R Package for Determining the Relevant Number of Clusters in a Data Set. Journal of Statistic Software, 61(6), 2014, 1–36.
Davies D.L., Bouldin D.W.: A cluster separation measure. IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI-1, no. 2, 1979, 224–227.
Desgraupes B.: Clustering indices. University Paris Ouest, Lab Modal’X, 2013.
Dunn J.: Well separated clusters and optimal fuzzy partitions. Journal of Cybernetics 4, 1974, 95–104.
Fraley C., Raftery A.E.: How Many Clusters? Which Clustering Method? Answers Via Model-Based Cluster Analysis. The Computer Journal, 41(8), 1998, 578–588.
Gini, C.: Variabilitа e mutabilitа Reprinted in Memorie di metodologica statistica (Ed. Pizetti E, Salvemini, T). Rome: Libreria Eredi Virgilio Veschi, 1912, Bologna: Tipogr. Di P. Cuppini.
Halkidi M., Batistakis Y., Vazirgiannis M.: On clustering validation techniques. J. Intell. Inf. Syst., 17(2-3), 2001, 107–145.
Jung Y., Park H., Du D-Z., Drake B.L.: A Decision Criterion for the Optimal Number of Clusters in Hierarchical Clustering. Journal of Global Optimization, 25(1), 2003, 91–111
Ketchen Jr. Dj, Shook Cl.: The Application Of Cluster Analysis In Strategic Management Research: An Analysis And Critique, Strategic Management Journal, 17(6), 1996, 441–458.
McCallum A., Nigam K., Ungar L.H.: Efficient Clustering of High Dimensional Data Sets with Application to Reference Matching, Sixth ACM SIGKDD international conference on Knowledge discovery and data mining, 2000.
Mosorov V., Panskyi T., Biedron S.: Development of a stopping rule of clustering performance by using the connected acyclic graph. Eastern-European Journal of Enterprise Technologies, 5, 9(77), 2015, 24–30.
Mosorov V., Tomczak L.: Image Texture Defect Detection Method UsingFuzzy C-Means Clustering for Visual Inspection Systems. Arabian Journal for Science and Engineering, 39(4), 2014, 3013–3022.
RapidMiner GmbH: Cluster distance performance – RapidMiner documentation. http://docs.rapidminer.com/studio/operators/validation/performance/segmentation/cluster_distance_performance.html
Rousseeuw P.J.: Silhouettes: a graphical aid to the interpretation and validation of cluster analysis. Journal of Computational and Applied Mathematics 20, 1987, 53–65.
Sheikholeslami C., Chatterjee S., Zhang A.: WaveCluster: A Multi-Resolution Clustering Approach for Very Large Spatial Database. The International Journal on Very Large Data Bases, 8(3-4), 2000, 289–304.
Theodoridis S., Koutroubas K.: Pattern Recognition 4th Edition, Academic Press, 2008.