Servi, TayfunErol, Hamza2017-01-132017-01-132007Servi, T., Erol, H. (2007). On total number of candidate component cluster centers and total number of candidate mixture models in model based clustering. Selcuk Journal of Applied Mathematics, 8 (2), 57-69.1302-7980https://hdl.handle.net/20.500.12395/3848http://sjam.selcuk.edu.tr/sjam/article/view/191Determining the number of component clusters for a multivariate normal mixture model is the most important problem in model based clustering and determining the number of candidate mixture models is the most interesting problem in multivariate normal mixture model based clustering using model selection criteria. In this study; first, the concept of the total number of candidate component cluster centers is introduced and an interval is constructed by using the number of partitions in each variable in multivariate data. Second, an equation is given for the total number of candidate mixture models in multivariate normal mixture model based clustering. The number of candidate mixture models is defined as the sum of the number of possible mixture models with different number of component clusters.eninfo:eu-repo/semantics/openAccessOlası karma modellerin sayısıNumber of possible mixture modelsToplam aday karışım modeli sayısıTotal number of candidate mixture modelsAday bileşen küme merkezlerinin toplam sayısıTotal number of candidate component cluster centersModel seçimiModel selectionKarışım modeline dayalı kümelemeMixture model based clusteringÇok değişkenli normal karışım modeliMultivariate normal mixture modelArticle85769