73 search results - page 1 / 15 » Modified hierarchical clustering for sparse component analys... |
ICASSP
2010
IEEE
12 years 11 months ago
2010
IEEE
The under-determined blind source separation (BSS) problem is usually solved using the sparse component analysis (SCA) technique. In SCA, the BSS is usually solved in two steps, w...
CORR
2007
Springer
13 years 4 months ago
2007
Springer
In this paper, we study the application of sparse principal component analysis (PCA) to clustering and feature selection problems. Sparse PCA seeks sparse factors, or linear combi...
CIS
2005
Springer
13 years 10 months ago
2005
Springer
Different from familiar clustering objects, text documents have sparse data spaces. A common way of representing a document is as a bag of its component words, but the semantic re...
IJON
2006
13 years 4 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,...
SIAMSC
2008
13 years 4 months ago
2008
Coding of data, usually upstream of data analysis, has crucial implications for the data analysis results. By modifying the data coding