101 search results - page 1 / 21 » Methods for merging Gaussian mixture components |
ADAC
2010
13 years 1 months ago
2010
The problem of merging Gaussian mixture components is discussed in situations where a Gaussian mixture is fitted but the mixture components are not separated enough from each othe...
PAMI
2006
13 years 4 months ago
2006
We present a Bayesian method for mixture model training that simultaneously treats the feature selection and the model selection problem. The method is based on the integration of ...
ICANN
2007
Springer
13 years 10 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...
DICTA
2003
13 years 5 months ago
2003
For many applied problems in the context of clustering via mixture models, the estimates of the component means and covariance matrices can be affected by observations that are at...
KDD
2003
ACM
14 years 4 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...