177 search results - page 1 / 36 » K-means clustering via principal component analysis |
ICML
2004
IEEE
14 years 7 months ago
2004
IEEE
Principal component analysis (PCA) is a widely used statistical technique for unsupervised dimension reduction. K-means clustering is a commonly used data clustering for unsupervi...
IJON
2006
13 years 6 months ago
2006
In this paper, it is shown that Independent Component Analysis (ICA) of sparse signals (sparse ICA) can be seen as a cluster-wise Principal Component Analysis (PCA). Consequently,...
BMCBI
2006
13 years 6 months ago
2006
Background: There are many methods for analyzing microarray data that group together genes having similar patterns of expression over all conditions tested. However, in many insta...
SAS
2010
Springer
13 years 5 months ago
2010
Springer
Numerical Abstract Domains via Principal Component Analysis Gianluca Amato, Maurizio Parton, and Francesca Scozzari Universit`a di Chieti-Pescara – Dipartimento di Scienze We pro...
ICDAR
1999
IEEE
13 years 11 months ago
1999
IEEE
Skew detection via principal components is proposed as an e ective methodforimageswhich contain other parts than text. It is shown that the negative of the image leads to much mor...