477 search results - page 2 / 96 » Clustering Complex Data with Group-Dependent Feature Selecti... |
KDD
2010
ACM
13 years 2 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 ...
IJCNN
2007
IEEE
13 years 11 months ago
2007
IEEE
— This paper proposes an algorithm to deal with the feature selection in Gaussian mixture clustering by an iterative way: the algorithm iterates between the clustering and the un...
BMCBI
2006
13 years 4 months ago
2006
Background: Feature selection is an approach to overcome the 'curse of dimensionality' in complex researches like disease classification using microarrays. Statistical m...
ESANN
2007
13 years 6 months ago
2007
Spectral data often have a large number of highly-correlated features, making feature selection both necessary and uneasy. A methodology combining hierarchical constrained clusteri...
BMCBI
2004
13 years 4 months ago
2004
Background: Clustering is one of the most commonly used methods for discovering hidden structure in microarray gene expression data. Most current methods for clustering samples ar...