5046 search results - page 2 / 1010 » Non-redundant data clustering |
RECOMB
2006
Springer
14 years 5 months ago
2006
Springer
Abstract. We describe and empirically evaluate machine learning methods for the prediction of zinc binding sites from protein sequences. We start by observing that a data set consi...
BMCBI
2010
13 years 2 months ago
2010
Background: One of the most commonly performed tasks when analysing high throughput gene expression data is to use clustering methods to classify the data into groups. There are a...
CLUSTER
2010
IEEE
12 years 8 months ago
2010
IEEE
SDM
2011
SIAM
12 years 7 months ago
2011
SIAM
When multiple data sources are available for clustering, an a priori data integration process is usually required. This process may be costly and may not lead to good clusterings,...
SIGMOD
2011
ACM
12 years 7 months ago
2011
ACM
Projective Clustering Ensembles (PCE) are a very recent advance in data clustering research which combines the two powerful tools of clustering ensembles and projective clustering...