191 search results - page 12 / 39 » CDP Mixture Models for Data Clustering |
DATAMINE
2006
14 years 9 months ago
2006
Motivated by the poor performance (linear complexity) of the EM algorithm in clustering large data sets, and inspired by the successful accelerated versions of related algorithms l...
MICCAI
2008
Springer
15 years 11 months ago
2008
Springer
Abstract. We present iCluster, a fast and efficient algorithm that clusters a set of images while co-registering them using a parameterized, nonlinear transformation model. The out...
108
click to vote
CSDA
2007
14 years 9 months ago
2007
Model-based clustering exploits finite mixture models for detecting group in a data set. It provides a sound statistical framework which can address some important issues, such as...
NIPS
2001
14 years 11 months ago
2001
In previous work on "transformed mixtures of Gaussians" and "transformed hidden Markov models", we showed how the EM algorithm in a discrete latent variable mo...
ICANN
2010
Springer
14 years 10 months ago
2010
Springer
In this work, a novel probability distribution is proposed to model sparse directional data. The Directional Laplacian Distribution (DLD) is a hybrid between the linear Laplacian d...