13 search results - page 1 / 3 » A framework to uncover multiple alternative clusterings |
ECML
2006
Springer
14 years 2 months ago
2006
Springer
Multiple-instance learning (MIL) is a popular concept among the AI community to support supervised learning applications in situations where only incomplete knowledge is available....
EVOW
2005
Springer
14 years 4 months ago
2005
Springer
Abstract. Clustering still represents the most commonly used technique to analyze gene expression data—be it classical clustering approaches that aim at finding biologically rel...
BIBE
2007
IEEE
14 years 5 months ago
2007
IEEE
Alternative splicing is a highly important process in many eukaryotic organisms, but surprisingly little is known about its regulation. Often, this process involves cis-regulatory ...
SDM
2008
SIAM
14 years 9 days ago
2008
SIAM
Most clustering algorithms produce a single clustering for a given data set even when the data can be clustered naturally in multiple ways. In this paper, we address the difficult...
PKDD
2010
Springer
13 years 9 months ago
2010
Springer
Abstract. Semi-supervised clustering models, that incorporate user provided constraints to yield meaningful clusters, have recently become a popular area of research. In this paper...