2277 search results - page 193 / 456 » Clustering by pattern similarity in large data sets |
199
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ISMIS
1997
Springer
15 years 10 months ago
1997
Springer
e about image features can be expressed as a hierarchical structure called a Type Abstraction Hierarchy (TAH). TAHs can be generated automatically by clustering algorithms based on...
162
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SAINT
2003
IEEE
15 years 12 months ago
2003
IEEE
The problem of identifying patterns from system call trails of UNIX processes to better model application behavior has been investigated intensively. Most existing approaches focu...
198
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JCB
2007
15 years 6 months ago
2007
Many bioinformatics problems can implicitly depend on estimating large-scale covariance matrix. The traditional approaches tend to give rise to high variance and low accuracy esti...
192
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ICML
2007
IEEE
16 years 7 months ago
2007
IEEE
Maximum margin clustering (MMC) is a recent large margin unsupervised learning approach that has often outperformed conventional clustering methods. Computationally, it involves n...
175
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KDD
2008
ACM
16 years 7 months ago
2008
ACM
Information-theoretic clustering aims to exploit information theoretic measures as the clustering criteria. A common practice on this topic is so-called INFO-K-means, which perfor...