1301 search results - page 2 / 261 » Default Clustering from Sparse Data Sets |
ICASSP
2010
IEEE
13 years 5 months ago
2010
IEEE
Given a set of data points drawn from multiple low-dimensional linear subspaces of a high-dimensional space, we consider the problem of clustering these points according to the su...
CORR
2007
Springer
13 years 5 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...
ICASSP
2011
IEEE
12 years 9 months ago
2011
IEEE
Sparse representations over redundant dictionaries offer an efficient paradigm for signal representation. Recently block-sparsity has been put forward as a prior condition for so...
DATAMINE
1999
13 years 5 months ago
1999
Abstract. We describe a scalable parallel implementation of the self organizing map (SOM) suitable for datamining applications involving clustering or segmentation against large da...
ICPR
2006
IEEE
14 years 6 months ago
2006
IEEE
Distance functions are an important component in many learning applications. However, the correct function is context dependent, therefore it is advantageous to learn a distance f...