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IJON
2006
127views more  IJON 2006»
15 years 6 months ago
Sparse ICA via cluster-wise PCA
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,...
Massoud Babaie-Zadeh, Christian Jutten, Ali Mansou...
ICDE
2012
IEEE
238views Database» more  ICDE 2012»
13 years 8 months ago
Mining Knowledge from Data: An Information Network Analysis Approach
Abstract—Most objects and data in the real world are interconnected, forming complex, heterogeneous but often semistructured information networks. However, many database research...
Jiawei Han, Yizhou Sun, Xifeng Yan, Philip S. Yu
IJCNN
2000
IEEE
15 years 10 months ago
Fuzzy Clustering Algorithm Extracting Principal Components Independent of Subsidiary Variables
Fuzzy c-varieties (FCV) is one of the clustering algorithms in which the prototypes are multi-dimensional linear varieties. The linear varieties are represented by some local prin...
Chi-Hyon Oh, Hirokazu Komatsu, Katsuhiro Honda, Hi...
DAS
2008
Springer
15 years 8 months ago
A Comparison of Clustering Methods for Word Image Indexing
In this paper we explore the effectiveness of three clustering methods used to perform word image indexing. The three methods are: the Self-Organazing Map (SOM), the Growing Hiera...
Simone Marinai, Emanuele Marino, Giovanni Soda
ICCV
2007
IEEE
16 years 8 months ago
Scene Modeling Using Co-Clustering
In this paper, we propose a novel approach for scene modeling. The proposed method is able to automatically discover the intermediate semantic concepts. We utilize Maximization of...
Jingen Liu, Mubarak Shah