560 search results - page 25 / 112 » Text Clustering with Feature Selection by Using Statistical ... |
TAL
2010
Springer
13 years 6 months ago
2010
Springer
Abstract. Most common feature selection techniques for document categorization are supervised and require lots of training data in order to accurately capture the descriptive and d...
BMCBI
2006
13 years 7 months ago
2006
Background: Cluster analysis is an integral part of high dimensional data analysis. In the context of large scale gene expression data, a filtered set of genes are grouped togethe...
JMLR
2010
13 years 2 months ago
2010
As the size and dimensionality of data sets increase, the task of feature selection has become increasingly important. In this paper we demonstrate how association rules can be us...
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
Online feature selection (OFS) provides an efficient way to sort through a large space of features, particularly in a scenario where the feature space is large and features take a...
AUSAI
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. Text documents have sparse data spaces, and nearest neighbors may belong to different classes when using current existing proximity measures to describe the correlation ...