159 search results - page 17 / 32 » Boosting margin based distance functions for clustering |
BMCBI
2006
13 years 8 months ago
2006
Background: Cluster analysis is an integral part of high dimensional data analysis. In the context of large scale gene expression data, a filtered set of genes are grouped togethe...
SDM
2004
SIAM
13 years 10 months ago
2004
SIAM
A wide variety of distortion functions, such as squared Euclidean distance, Mahalanobis distance, Itakura-Saito distance and relative entropy, have been used for clustering. In th...
ICML
2005
IEEE
14 years 9 months ago
2005
IEEE
Semi-supervised clustering algorithms aim to improve clustering results using limited supervision. The supervision is generally given as pairwise constraints; such constraints are...
BMCBI
2010
13 years 8 months ago
2010
Background: Conservation and variation scores are used when evaluating sites in a multiple sequence alignment, in order to identify residues critical for structure or function. A ...
BIBM
2007
IEEE
14 years 3 months ago
2007
IEEE
Clustering has been shown to be effective in analyzing functional relationships of genes. However, no single clustering method with single distance metric is capable of capturing ...