165 search results - page 11 / 33 » Adaptive dimension reduction for clustering high dimensional... |
103
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PCM
2001
Springer
15 years 4 months ago
2001
Springer
A practical method for creating a high dimensional index structure that adapts to the data distribution and scales well with the database size, is presented. Typical media descrip...
SDM
2009
SIAM
15 years 9 months ago
2009
SIAM
Identifying information-rich subsets in high-dimensional spaces and representing them as order revealing patterns (or trends) is an important and challenging research problem in m...
112
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AICCSA
2008
IEEE
15 years 1 months ago
2008
IEEE
Time Series are ubiquitous, hence, similarity search is one of the biggest challenges in the area of mining time series data. This is due to the vast data size, number of sequence...
121
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APVIS
2010
14 years 6 months ago
2010
In this paper, we present a novel three-stage process to visualize the structure of point clouds in arbitrary dimensions. To get insight into the structure and complexity of a dat...
122
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Publication
This paper studies the effect of covariance regularization for classific ation of high-dimensional data. This is done by fitting a mixture of Gaussians with a regularized covaria...