80 search results - page 11 / 16 » O-Cluster: Scalable Clustering of Large High Dimensional Dat... |
SDM
2007
SIAM
14 years 11 months ago
2007
SIAM
In recent years, privacy preserving data mining has become very important because of the proliferation of large amounts of data on the internet. Many data sets are inherently high...
ICDM
2007
IEEE
15 years 3 months ago
2007
IEEE
Support vector clustering transforms the data into a high dimensional feature space, where a decision function is computed. In the original space, the function outlines the bounda...
106
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SSDBM
1999
IEEE
15 years 1 months ago
1999
IEEE
Multidimensional Analysis in On-Line Analytical Processing (OLAP), and Scientific and statistical databases (SSDB) use operations requiring summary information on multi-dimensiona...
115
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ESANN
2006
14 years 11 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...
89
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BMCBI
2010
14 years 9 months ago
2010
Background: There is an increasing demand to assemble and align large-scale biological sequence data sets. The commonly used multiple sequence alignment programs are still limited...