302 search results - page 15 / 61 » Non-parametric Mixture Models for Clustering |
115
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KDD
2007
ACM
15 years 5 months ago
2007
ACM
Mixture models form one of the most widely used classes of generative models for describing structured and clustered data. In this paper we develop a new approach for the analysis...
ICML
2007
IEEE
16 years 15 days ago
2007
IEEE
We introduce a new inference algorithm for Dirichlet process mixture models. While Gibbs sampling and variational methods focus on local moves, the new algorithm makes more global...
125
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BMCBI
2010
14 years 11 months ago
2010
Background: Cluster analysis is an important technique for the exploratory analysis of biological data. Such data is often high-dimensional, inherently noisy and contains outliers...
107
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ICPR
2010
IEEE
15 years 1 months ago
2010
IEEE
In this paper, the results of a semi-supervised approach based on the Expectation-Maximisation algorithm for model-based clustering are presented. We show in this work that, if th...
CSL
1998
Springer
14 years 11 months ago
1998
Springer
In this paper, we propose parameter estimation techniques for mixture density polynomial segment models (MDPSMs) where their trajectories are specified with an arbitrary regressi...