130 search results - page 8 / 26 » Fuzzy clustering with principal component analysis |
103
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ICML
2009
IEEE
16 years 2 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...
125
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ICML
2003
IEEE
16 years 2 months ago
2003
IEEE
In this paper, we address the problem of finding the pre-image of a feature vector in the feature space induced by a kernel. This is of central importance in some kernel applicatio...
117
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ENGL
2007
15 years 1 months ago
2007
— The paper aims at designing a scheme for automatic identification of a species from its genome sequence. A set of 64 three-tuple keywords is first generated using the four type...
ICPR
2008
IEEE
15 years 8 months ago
2008
IEEE
A crucial preprocessing stage in applications such as OCR is text extraction from mixed-type documents. The present work, in contrast to most until now, successfully faces the pro...
100
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ISNN
2004
Springer
15 years 7 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...