190 search results - page 1 / 38 » Evaluating Clustering Algorithms: Cluster Quality and Featur... |
100
Voted
CSIE
2009
IEEE
15 years 5 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...
119
Voted
CIARP
2010
Springer
14 years 9 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 ...
109
Voted
ICIP
2000
IEEE
16 years 13 days 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...
109
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SIGMOD
2003
ACM
15 years 11 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 ...
87
Voted
ICONIP
2008
15 years 8 days 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...