5880 search results - page 93 / 1176 » Data Clustering: A Review |
IMCSIT
2010
13 years 5 months ago
2010
Word Sense Disambiguation in text is still a difficult problem as the best supervised methods require laborious and costly manual preparation of training data. Thus, this work focu...
DEXAW
2009
IEEE
14 years 2 months ago
2009
IEEE
Abstract—The k-means method is a simple and fast clustering technique that exhibits the problem of specifying the optimal number of clusters preliminarily. We address the problem...
CVPR
2008
IEEE
14 years 9 months ago
2008
IEEE
Most existing methods of semi-supervised clustering introduce supervision from outside, e.g., manually label some data samples or introduce constrains into clustering results. Thi...
CIT
2007
Springer
14 years 1 months ago
2007
Springer
In this paper a fuzzy quantization dequantization criterion is used to propose an evaluation technique to determine the appropriate clustering algorithm suitable for a particular ...
BMCBI
2010
13 years 7 months ago
2010
Background: There are many important clustering questions in computational biology for which no satisfactory method exists. Automated clustering algorithms, when applied to large,...