1595 search results - page 32 / 319 » A hierarchical clustering algorithm based on the Hungarian m... |
132
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SSDBM
2006
IEEE
15 years 8 months ago
2006
IEEE
The detection of correlations between different features in high dimensional data sets is a very important data mining task. These correlations can be arbitrarily complex: One or...
110
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ICML
2004
IEEE
16 years 2 months ago
2004
IEEE
Many clustering algorithms fail when dealing with high dimensional data. Principal component analysis (PCA) is a popular dimensionality reduction algorithm. However, it assumes a ...
120
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SDM
2007
SIAM
15 years 3 months ago
2007
SIAM
In distributed data mining models, adopting a flat node distribution model can affect scalability. To address the problem of modularity, flexibility and scalability, we propose...
122
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CSB
2004
IEEE
15 years 5 months ago
2004
IEEE
The soundness of clustering in the analysis of gene expression profiles and gene function prediction is based on the hypothesis that genes with similar expression profiles may imp...
130
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TVCG
2012
13 years 4 months ago
2012
—Vector field visualization techniques have evolved very rapidly over the last two decades, however, visualizing vector fields on complex boundary surfaces from computational ...