302 search results - page 5 / 61 » Non-parametric Mixture Models for Clustering |
102
click to vote
CSDA
2006
14 years 11 months ago
2006
The mixmod (mixture modeling) program fits mixture models to a given data set for the purposes of density estimation, clustering or discriminant analysis. A large variety of algor...
112
click to vote
KDD
2010
ACM
14 years 9 months ago
2010
ACM
One essential issue of document clustering is to estimate the appropriate number of clusters for a document collection to which documents should be partitioned. In this paper, we ...
100
click to vote
SDM
2004
SIAM
15 years 1 months ago
2004
SIAM
This paper presents a method of generating Mercer Kernels from an ensemble of probabilistic mixture models, where each mixture model is generated from a Bayesian mixture density e...
KDD
2003
ACM
16 years 1 days ago
2003
ACM
134
click to vote
KDD
2003
ACM
16 years 1 days ago
2003
ACM
The goal of clustering is to identify distinct groups in a dataset. The basic idea of model-based clustering is to approximate the data density by a mixture model, typically a mix...