25041 search results - page 188 / 5009 » Algorithms for Clustering Data |
149
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AI
2005
Springer
15 years 10 months ago
2005
Springer
In this research, a systematic study is conducted of four dimension reduction techniques for the text clustering problem, using five benchmark data sets. Of the four methods -- Ind...
164
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EUROPAR
2004
Springer
15 years 8 months ago
2004
Springer
Hierarchical agglomerative clustering (HAC) is a common clustering method that outputs a dendrogram showing all N levels of agglomerations where N is the number of objects in the d...
124
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ICPR
2008
IEEE
15 years 11 months ago
2008
IEEE
This paper presents a new learning approach for pattern classification applications involving imbalanced data sets. In this approach, a clustering technique is employed to resamp...
132
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ICPR
2006
IEEE
16 years 5 months ago
2006
IEEE
Distance functions are an important component in many learning applications. However, the correct function is context dependent, therefore it is advantageous to learn a distance f...
142
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MICCAI
1999
Springer
15 years 8 months ago
1999
Springer
Abstract. A central problem in the analysis of functional magnetic resonance imaging (fMRI) data is the reliable detection and segmentation of activated areas. Often this goal is a...