157 search results - page 3 / 32 » Applying Discrete PCA in Data Analysis |
GRC
2010
IEEE
13 years 4 months ago
2010
IEEE
KDD
2006
ACM
14 years 6 months ago
2006
ACM
Principal component analysis (PCA) has been extensively applied in data mining, pattern recognition and information retrieval for unsupervised dimensionality reduction. When label...
BMCBI
2010
13 years 5 months ago
2010
Background: Gene expression data can be analyzed by summarizing groups of individual gene expression profiles based on GO annotation information. The mean expression profile per g...
SDM
2010
SIAM
13 years 4 months ago
2010
SIAM
A popular approach for dimensionality reduction and data analysis is principal component analysis (PCA). A limiting factor with PCA is that it does not inform us on which of the o...
ISNN
2004
Springer
13 years 11 months ago
2004
Springer
Abstract. Principal Component Analysis (PCA) is a feature extraction approach directly based on a whole vector pattern and acquires a set of projections that can realize the best r...