3721 search results - page 206 / 745 » Discriminative cluster analysis |
152
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ICDM
2003
IEEE
15 years 9 months ago
2003
IEEE
Clustering is an important technique for understanding and analysis of large multi-dimensional datasets in many scientific applications. Most of clustering research to date has be...
168
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CGF
2011
14 years 7 months ago
2011
High-dimensional data visualization is receiving increasing interest because of the growing abundance of highdimensional datasets. To understand such datasets, visualization of th...
139
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IJON
2006
15 years 4 months ago
2006
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,...
134
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CVPR
2006
IEEE
16 years 6 months ago
2006
IEEE
Linear Discriminant Analysis (LDA) is a well-known and important tool in pattern recognition with potential applications in many areas of research. The most famous and used formul...
152
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IJCNN
2000
IEEE
15 years 8 months ago
2000
IEEE
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...