190 search results - page 1 / 38 » Evaluating Clustering Algorithms: Cluster Quality and Featur... |
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...
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 ...
ICIP
2000
IEEE
14 years 6 months ago
2000
IEEE
In this paper, we presentan approach to clustering images for efficient retrieval using relative entropy. We start with the assumption that visual features are represented by prob...
SIGMOD
2003
ACM
14 years 4 months ago
2003
ACM
The learning-enhanced relevance feedback has been one of the most active research areas in content-based image retrieval in recent years. However, few methods using the relevance ...
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...