436 search results - page 6 / 88 » Automatic Subspace Clustering of High Dimensional Data for D... |
184
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KDD
2006
ACM
16 years 6 months ago
2006
ACM
Order-preserving submatrixes (OPSMs) have been accepted as a biologically meaningful subspace cluster model, capturing the general tendency of gene expressions across a subset of ...
136
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PAKDD
2005
ACM
15 years 11 months ago
2005
ACM
In many modern application ranges high-dimensional feature vectors are used to model complex real-world objects. Often these objects reside on different local sites. In this paper,...
174
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SSDBM
2006
IEEE
15 years 11 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...
275
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ICDE
2008
IEEE
16 years 7 months ago
2008
IEEE
Finding latent patterns in high dimensional data is an important research problem with numerous applications. Existing approaches can be summarized into 3 categories: feature selec...
189
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KDD
2001
ACM
16 years 6 months ago
2001
ACM
Random projections have recently emerged as a powerful method for dimensionality reduction. Theoretical results indicate that the method preserves distances quite nicely; however,...