5603 search results - page 214 / 1121 » Feature Selection for Clustering |
194
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SIGMOD
2000
ACM
15 years 10 months ago
2000
ACM
High dimensional data has always been a challenge for clustering algorithms because of the inherent sparsity of the points. Recent research results indicate that in high dimension...
216
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ICCBSS
2005
Springer
15 years 11 months ago
2005
Springer
The selection process is a crucial activity of the development of COTS-based systems. A key step of the evaluation of COTS components carried out during selection is the matching b...
169
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IBPRIA
2009
Springer
15 years 10 months ago
2009
Springer
Hyperspectral remote sensing provides data in large amounts from a wide range of wavelengths in the spectrum and the possibility of distinguish subtle differences in the image. For...
163
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ICMLA
2010
15 years 4 months ago
2010
Recently, the so-called Support Feature Machine (SFM) was proposed as a novel approach to feature selection for classification, based on minimisation of the zero norm of a separati...
199
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EMNLP
2008
15 years 7 months ago
2008
Complex questions that require inferencing and synthesizing information from multiple documents can be seen as a kind of topicoriented, informative multi-document summarization. I...