On total number of candidate component cluster centers and total number of candidate mixture models in model based clustering
Yükleniyor...
Dosyalar
Tarih
2007
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Selcuk University Research Center of Applied Mathematics
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
Determining 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.
Açıklama
http://sjam.selcuk.edu.tr/sjam/article/view/191
Anahtar Kelimeler
Olası karma modellerin sayısı, Number of possible mixture models, Toplam aday karışım modeli sayısı, Total number of candidate mixture models, Aday bileşen küme merkezlerinin toplam sayısı, Total number of candidate component cluster centers, Model seçimi, Model selection, Karışım modeline dayalı kümeleme, Mixture model based clustering, Çok değişkenli normal karışım modeli, Multivariate normal mixture model
Kaynak
Selcuk Journal of Applied Mathematics
WoS Q Değeri
Scopus Q Değeri
Cilt
8
Sayı
Künye
Servi, 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.
