5603 search results - page 1 / 1121 » Feature Selection for Clustering |
IJCNN
2007
IEEE
13 years 11 months ago
2007
IEEE
— This paper proposes an algorithm to deal with the feature selection in Gaussian mixture clustering by an iterative way: the algorithm iterates between the clustering and the un...
ICONIP
2008
13 years 6 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...
CSIE
2009
IEEE
13 years 11 months ago
2009
IEEE
The paper presents an evaluation of four clustering algorithms: k-means, average linkage, complete linkage, and Ward’s method, with the latter three being different hierarchical...
ICPR
2008
IEEE
13 years 11 months ago
2008
IEEE
In semi-supervised clustering, domain knowledge can be converted to constraints and used to guide the clustering. In this paper we propose a feature selection algorithm for semi-s...
CIARP
2010
Springer
13 years 3 months ago
2010
Springer
Abstract. Feature selection has improved the performance of text clustering. In this paper, a local feature selection technique is incorporated in the dynamic hierarchical compact ...