5092 search results - page 36 / 1019 » Clustering the Feature Space |
CEC
2005
IEEE
14 years 3 months ago
2005
IEEE
Abstract- The large majority of existing clustering algorithms are centered around the notion of a feature, that is, individual data items are represented by their intrinsic proper...
ICIP
2008
IEEE
14 years 11 months ago
2008
IEEE
This paper introduces a new feature-based technique for implicitly modelling objects in visual surveillance. Previous work has generally employed background subtraction and other ...
ICONIP
2008
13 years 11 months ago
2008
Abstract. Feature selection has improved the performance of text clustering. Global feature selection tries to identify a single subset of features which are relevant to all cluste...
KDD
2004
ACM
14 years 10 months ago
2004
ACM
Clustering algorithms typically operate on a feature vector representation of the data and find clusters that are compact with respect to an assumed (dis)similarity measure betwee...
BMCBI
2004
13 years 10 months ago
2004
Background: Clustering is one of the most commonly used methods for discovering hidden structure in microarray gene expression data. Most current methods for clustering samples ar...