6 search results - page 1 / 2 » A General Framework for Increasing the Robustness of PCA-Bas... |
SSDBM
2008
IEEE
13 years 11 months ago
2008
IEEE
Abstract. Most correlation clustering algorithms rely on principal component analysis (PCA) as a correlation analysis tool. The correlation of each cluster is learned by applying P...
PRL
2010
12 years 11 months ago
2010
As an important technique for data analysis, clustering has been employed in many applications such as image segmentation, document clustering and vector quantization. Divisive cl...
SDM
2009
SIAM
14 years 1 months ago
2009
SIAM
Clustering ensembles has been recently recognized as an emerging approach to provide more robust solutions to the data clustering problem. Current methods of clustering ensembles ...
BMCBI
2006
13 years 4 months ago
2006
Background: We have recently introduced a predictive framework for studying gene transcriptional regulation in simpler organisms using a novel supervised learning algorithm called...
CIKM
2008
Springer
13 years 6 months ago
2008
Springer
Managing large-scale software projects involves a number of activities such as viewpoint extraction, feature detection, and requirements management, all of which require a human a...