302 search results - page 5 / 61 » Non-parametric Mixture Models for Clustering |
CSDA
2006
14 years 9 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...
95
Voted
KDD
2010
ACM
14 years 7 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 ...
SDM
2004
SIAM
14 years 11 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...
54
Voted
KDD
2003
ACM
15 years 10 months ago
2003
ACM
115
Voted
KDD
2003
ACM
15 years 10 months 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...