434 search results - page 52 / 87 » Dimensionality Reduction of Clustered Data Sets |
127
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DASFAA
2008
IEEE
15 years 10 months ago
2008
IEEE
Clustering time series is usually limited by the fact that the length of the time series has a significantly negative influence on the runtime. On the other hand, approximative c...
126
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ICML
2003
IEEE
16 years 4 months ago
2003
IEEE
A new method for classification is proposed. This is based on kernel orthonormalized partial least squares (PLS) dimensionality reduction of the original data space followed by a ...
180
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ESANN
2006
15 years 5 months ago
2006
The Self-Organizing map (SOM), a powerful method for data mining and cluster extraction, is very useful for processing data of high dimensionality and complexity. Visualization met...
129
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ICPR
2010
IEEE
15 years 2 months ago
2010
IEEE
In this paper, an easily implemented semi-supervised graph learning method is presented for dimensionality reduction and clustering, using the most of prior knowledge from limited...
177
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EDBT
1998
ACM
15 years 8 months ago
1998
ACM
Abstract. In this paper, we propose a new bulk-loading technique for high-dimensional indexes which represent an important component of multimedia database systems. Since it is ver...