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NPL
2002
140views more  NPL 2002»
13 years 4 months ago
A Greedy EM Algorithm for Gaussian Mixture Learning
Learninga Gaussian mixturewithalocal algorithm like EMcanbe dif
Nikos A. Vlassis, Aristidis Likas
NN
1998
Springer
177views Neural Networks» more  NN 1998»
13 years 4 months ago
Soft vector quantization and the EM algorithm
The relation between hard c-means (HCM), fuzzy c-means (FCM), fuzzy learning vector quantization (FLVQ), soft competition scheme (SCS) of Yair et al. (1992) and probabilistic Gaus...
Ethem Alpaydin
ICML
2008
IEEE
14 years 5 months ago
Estimating local optimums in EM algorithm over Gaussian mixture model
EM algorithm is a very popular iteration-based method to estimate the parameters of Gaussian Mixture Model from a large observation set. However, in most cases, EM algorithm is no...
Zhenjie Zhang, Bing Tian Dai, Anthony K. H. Tung
BMEI
2009
IEEE
13 years 6 months ago
A Kurtosis and Skewness Based Criterion for Model Selection on Gaussian Mixture
The Gaussian mixture model is a powerful statistical tool in data modeling and analysis. Generally, the EM algorithm is utilized to learn the parameters of the Gaussian mixture. Ho...
Lin Wang, Jinwen Ma