5603 search results - page 169 / 1121 » Feature Selection for Clustering |
151
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APWEB
2005
Springer
15 years 10 months ago
2005
Springer
This paper presents a new method for visualizing and navigating huge graphs. The main feature of this method is that it applies Level-Of-Detail (LOD) strategy to graph visualizati...
149
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GECCO
2009
Springer
15 years 9 months ago
2009
Springer
Radiologists disagree with each other over the characteristics and features of what constitutes a normal mammogram and the terminology to use in the associated radiology report. R...
164
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ICTAI
2008
IEEE
15 years 11 months ago
2008
IEEE
The main challenge of cluster analysis is that the number of clusters or the number of model parameters is seldom known, and it must therefore be determined before clustering. Bay...
187
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SAC
2008
ACM
15 years 4 months ago
2008
ACM
We systematically evaluate a recently proposed method for unsupervised discrimination power analysis for feature selection and optimization in multimedia applications. A series of...
134
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PAKDD
2009
ACM
15 years 11 months ago
2009
ACM
Abstract. Clustering high dimensional data with sparse features is challenging because pairwise distances between data items are not informative in high dimensional space. To addre...