574 search results - page 26 / 115 » Maximum Margin Clustering |
RECOMB
2005
Springer
14 years 8 months ago
2005
Springer
Abstract. Gene cluster significance tests that are based on the number of genes in a cluster in two genomes, and how compactly they are distributed, but not their order, may be mad...
ICTAI
2008
IEEE
14 years 2 months ago
2008
IEEE
The main challenge of cluster analysis is that the number of clusters or the number of model parameters is seldom known, and it must therefore be determined before clustering. Bay...
DAGM
2008
Springer
13 years 9 months ago
2008
Springer
We introduce the OneClassMaxMinOver (OMMO) algorithm for the problem of one-class support vector classification. The algorithm is extremely simple and therefore a convenient choice...
ACIVS
2008
Springer
14 years 2 months ago
2008
Springer
Bayesian Information Criterion (BIC) is a promising method for detecting the number of clusters. It is often used in model-based clustering in which a decisive first local maximum ...
CORR
2006
Springer
13 years 7 months ago
2006
Springer
We consider semi-supervised classification when part of the available data is unlabeled. These unlabeled data can be useful for the classification problem when we make an assumpti...