59 search results - page 2 / 12 » Sparse Higher-Order Principal Components Analysis |
CORR
2007
Springer
13 years 4 months ago
2007
Springer
Given a sample covariance matrix, we examine the problem of maximizing the variance explained by a linear combination of the input variables while constraining the number of nonze...
ICML
2007
IEEE
14 years 5 months ago
2007
IEEE
Given a sample covariance matrix, we examine the problem of maximizing the variance explained by a particular linear combination of the input variables while constraining the numb...
PEWASUN
2006
ACM
13 years 10 months ago
2006
ACM
JMLR
2010
13 years 3 months ago
2010
PKDD
2010
Springer
13 years 3 months ago
2010
Springer
Abstract. Principal component analysis (PCA) and its dual—principal coordinate analysis (PCO)—are widely applied to unsupervised dimensionality reduction. In this paper, we sho...