287 search results - page 39 / 58 » Optimal Solutions for Sparse Principal Component Analysis |
CORR
2010
Springer
14 years 8 months ago
2010
Springer
Singular Value Decomposition (and Principal Component Analysis) is one of the most widely used techniques for dimensionality reduction: successful and efficiently computable, it ...
CSB
2003
IEEE
15 years 3 months ago
2003
IEEE
The problem of clustering continuous valued data has been well studied in literature. Its application to microarray analysis relies on such algorithms as -means, dimensionality re...
IR
2006
14 years 9 months ago
2006
Search facilitated with agglomerative hierarchical clustering methods was studied in a collection of Finnish newspaper articles (N = 53,893). To allow quick experiments, clustering...
JMIV
2006
14 years 9 months ago
2006
We present a novel representation of shape for closed contours in R2 or for compact surfaces in R3 explicitly designed to possess a linear structure. This greatly simplifies linear...
CORR
2008
Springer
14 years 9 months ago
2008
Springer
Getting agents in the Internet, and in networks in general, to invest in and deploy security features and protocols is a challenge, in particular because of economic reasons arisi...