847 search results - page 75 / 170 » HITS is Principal Components Analysis |
107
Voted
ISCA
2007
IEEE
15 years 7 months ago
2007
IEEE
The recently released SPEC CPU2006 benchmark suite is expected to be used by computer designers and computer architecture researchers for pre-silicon early design analysis. Partia...
96
Voted
ISNN
2004
Springer
15 years 6 months ago
2004
Springer
This paper proposes a novel clustering analysis algorithm based on principal component analysis (PCA) and self-organizing maps (SOMs) for clustering the gene expression patterns. T...
85
Voted
CIKM
2009
Springer
15 years 4 months ago
2009
Springer
In this work, we show the importance of multidimensional opinion representation in the political context combining domain knowledge and results from principal component analysis. ...
126
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TNN
2008
15 years 16 days ago
2008
Abstract--Large-margin methods, such as support vector machines (SVMs), have been very successful in classification problems. Recently, maximum margin discriminant analysis (MMDA) ...
ICML
2009
IEEE
16 years 1 months ago
2009
IEEE
Clustering data in high dimensions is believed to be a hard problem in general. A number of efficient clustering algorithms developed in recent years address this problem by proje...