177 search results - page 23 / 36 » K-means clustering via principal component analysis |
CSB
2003
IEEE
14 years 25 days 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...
IFIP
2010
Springer
13 years 2 months ago
2010
Springer
Abstract. Task-structured probabilistic input/output automata (taskPIOAs) are concurrent probabilistic automata that, among other things, have been used to provide a formal framewo...
ICCV
2007
IEEE
14 years 1 months ago
2007
IEEE
Dimensionality reduction plays a fundamental role in data processing, for which principal component analysis (PCA) is widely used. In this paper, we develop the Laplacian PCA (LPC...
CLUSTER
2009
IEEE
14 years 7 days ago
2009
IEEE
—Statistical analysis is widely used for countless scientific applications in order to analyze and infer meaning from data. A key challenge of any statistical analysis package a...
ICPR
2008
IEEE
14 years 2 months ago
2008
IEEE
A problem of detecting changes in a region viewed by multiple overlapping cameras is addressed. We are exploring a background change detection method of multilayered orthoimages u...