302 search results - page 4 / 61 » Non-parametric Mixture Models for Clustering |
INFORMATICALT
2002
14 years 9 months ago
2002
Abstract. Five methods for count data clusterization based on Poisson mixture models are described. Two of them are parametric, the others are semi-parametric. The methods emlploy ...
GFKL
2005
Springer
15 years 3 months ago
2005
Springer
Mixture models represent results of gene expression cluster analysis in a more natural way than ’hard’ partitions. This is also true for the representation of gene labels, such...
ESANN
2004
14 years 11 months ago
2004
Abstract. Bayesian approaches to density estimation and clustering using mixture distributions allow the automatic determination of the number of components in the mixture. Previou...
ACL
1997
14 years 11 months ago
1997
We propose a new method of classifying documents into categories. We define for each category a finite mixture model based on soft clustering of words. We treat the problem of cla...
ICANN
2007
Springer
15 years 3 months ago
2007
Springer
In this article we present an incremental method for building a mixture model. Given the desired number of clusters K ≥ 2, we start with a two-component mixture and we optimize t...