5603 search results - page 423 / 1121 » Feature Selection for Clustering |
160
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ESWA
2007
15 years 6 months ago
2007
ct 9 Marketing segmentation is widely used for targeting a smaller market and is useful for decision makers to reach all customers effec10 tively with one basic marketing mix. Alt...
207
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ICIP
2010
IEEE
15 years 4 months ago
2010
IEEE
A new image segmentation method is proposed to combine the edge information with the feature-space method, K-Means clustering. A procedure called seam processing, which is computa...
162
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IPPS
2010
IEEE
15 years 4 months ago
2010
IEEE
We propose a novel approach, called Dynamic Fractional Resource Scheduling (DFRS), to share homogeneous cluster computing platforms among competing jobs. DFRS leverages virtual mac...
192
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TVLSI
2010
15 years 1 months ago
2010
K-Means is a clustering algorithm that is widely applied in many fields, including pattern classification and multimedia analysis. Due to real-time requirements and computational-c...
173
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ICDM
2005
IEEE
16 years 15 days ago
2005
IEEE
We introduce a robust and efficient framework called CLUMP (CLustering Using Multiple Prototypes) for unsupervised discovery of structure in data. CLUMP relies on finding multip...