130 search results - page 8 / 26 » Fuzzy clustering with principal component analysis |
ICML
2009
IEEE
15 years 10 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...
ICML
2003
IEEE
15 years 10 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...
ENGL
2007
14 years 9 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 3 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...
ISNN
2004
Springer
15 years 2 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...