1458 search results - page 127 / 292 » Practical Preference Relations for Large Data Sets |
168
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BMCBI
2006
15 years 6 months ago
2006
Background: Cluster analysis is an integral part of high dimensional data analysis. In the context of large scale gene expression data, a filtered set of genes are grouped togethe...
209
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ESANN
2006
15 years 7 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...
200
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BMCBI
2005
15 years 6 months ago
2005
Background: Accurate diagnosis of cancer subtypes remains a challenging problem. Building classifiers based on gene expression data is a promising approach; yet the selection of n...
134
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IJAIT
2002
15 years 6 months ago
2002
The WEBSOM methodology for building very large text archives has a very slow method for extracting meaningful unit labels. This is because the method computes for the relative fre...
188
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SDM
2003
SIAM
15 years 7 months ago
2003
SIAM
The problem of finding clusters in data is challenging when clusters are of widely differing sizes, densities and shapes, and when the data contains large amounts of noise and out...