1749 search results - page 68 / 350 » An ICA algorithm for analyzing multiple data sets |
ICML
2007
IEEE
14 years 10 months ago
2007
IEEE
In many prediction tasks, selecting relevant features is essential for achieving good generalization performance. Most feature selection algorithms consider all features to be a p...
KDD
1998
ACM
14 years 1 months ago
1998
ACM
Practical clustering algorithms require multiple data scans to achieve convergence. For large databases, these scans become prohibitively expensive. We present a scalable clusteri...
SG
2010
Springer
13 years 7 months ago
2010
Springer
Abstract. In this paper we present a novel approach to visualize irregularly occurring events. We introduce the event line view designed specifically for such events data (a subset...
BMCBI
2007
13 years 9 months ago
2007
Background: The search for enriched features has become widely used to characterize a set of genes or proteins. A key aspect of this technique is its ability to identify correlati...
CORR
2011
Springer
13 years 4 months ago
2011
Springer
In this paper we present clustering method is very sensitive to the initial center values ,requirements on the data set too high, and cannot handle noisy data the proposal method ...