419 search results - page 35 / 84 » Spectral Methods for Automatic Multiscale Data Clustering |
BMCBI
2007
13 years 8 months ago
2007
Background: Uncovering cellular roles of a protein is a task of tremendous importance and complexity that requires dedicated experimental work as well as often sophisticated data ...
CORR
1998
Springer
13 years 7 months ago
1998
Springer
We address the problem of clustering words (or constructing a thesaurus) based on co-occurrence data, and using the acquired word classes to improve the accuracy of syntactic disa...
SSPR
2010
Springer
13 years 6 months ago
2010
Springer
Mixture models have been widely used for data clustering. However, commonly used mixture models are generally of a parametric form (e.g., mixture of Gaussian distributions or GMM),...
ICDM
2009
IEEE
13 years 5 months ago
2009
IEEE
Clustering methods usually require to know the best number of clusters, or another parameter, e.g. a threshold, which is not ever easy to provide. This paper proposes a new graph-b...
SIGMOD
1999
ACM
14 years 8 days ago
1999
ACM
Cluster analysis is a primary method for database mining. It is either used as a stand-alone tool to get insight into the distribution of a data set, e.g. to focus further analysi...