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APWEB
2006
Springer
13 years 10 months ago
Generalized Projected Clustering in High-Dimensional Data Streams
Clustering is to identify densely populated subgroups in data, while correlation analysis is to find the dependency between the attributes of the data set. In this paper, we combin...
Ting Wang
SADM
2008
165views more  SADM 2008»
13 years 6 months ago
Global Correlation Clustering Based on the Hough Transform
: In this article, we propose an efficient and effective method for finding arbitrarily oriented subspace clusters by mapping the data space to a parameter space defining the set o...
Elke Achtert, Christian Böhm, Jörn David...
IJCNN
2006
IEEE
14 years 1 months ago
Online Kernel Canonical Correlation Analysis for Supervised Equalization of Wiener Systems
— We consider the application of kernel canonical correlation analysis (K-CCA) to the supervised equalization of Wiener systems. Although a considerable amount of research has be...
Steven Van Vaerenbergh, Javier Vía, Ignacio...
ICDE
2006
IEEE
114views Database» more  ICDE 2006»
14 years 1 months ago
Novelty-based Incremental Document Clustering for On-line Documents
Document clustering has been used as a core technique in managing vast amount of data and providing needed information. In on-line environments, generally new information gains mo...
Sophoin Khy, Yoshiharu Ishikawa, Hiroyuki Kitagawa
EUROGRAPHICS
2010
Eurographics
14 years 4 months ago
The Virtual Director: a Correlation-Based Online Viewing of Human Motion
Automatic camera control for scenes depicting human motion is an imperative topic in motion capture base animation, computer games, and other animation based fields. This challen...
Jackie Assa, Lior Wolf, Daniel Cohen-Or