298 search results - page 17 / 60 » Subspace Clustering of High Dimensional Data |
110
Voted
ISNN
2007
Springer
15 years 6 months ago
2007
Springer
Bayesian subspace analysis (BSA) has been successfully applied in data mining and pattern recognition. However, due to the use of probabilistic measure of similarity, it often need...
SSD
2005
Springer
15 years 6 months ago
2005
Springer
Abstract. Query optimization is an important functionality of modern database systems and often based on estimating the selectivity of queries before actually executing them. Well-...
101
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IJCAI
2007
15 years 1 months ago
2007
Kernel based nonlinear Feature Extraction (KFE) or dimensionality reduction is a widely used pre-processing step in pattern classification and data mining tasks. Given a positive...
PCM
2007
Springer
15 years 6 months ago
2007
Springer
The two-dimensional Principal Component Analysis (2DPCA) is a robust method in face recognition. Much recent research shows that the 2DPCA is more reliable than the well-known PCA ...
114
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ICML
2010
IEEE
14 years 11 months ago
2010
IEEE
Many clustering algorithms only find one clustering solution. However, data can often be grouped and interpreted in many different ways. This is particularly true in the high-dim...