142 search results - page 12 / 29 » Visual Exploration of High Dimensional Scalar Functions |
ALT
2004
Springer
15 years 6 months ago
2004
Springer
Kernel functions are typically viewed as providing an implicit mapping of points into a high-dimensional space, with the ability to gain much of the power of that space without inc...
SSDBM
2007
IEEE
15 years 3 months ago
2007
IEEE
In high dimensional data, clusters often only exist in arbitrarily oriented subspaces of the feature space. In addition, these so-called correlation clusters may have complex rela...
BMCBI
2006
14 years 9 months ago
2006
Background: Increasing amounts of data from large scale whole genome analysis efforts demands convenient tools for manipulation, visualization and investigation. Whole genome plot...
VIZSEC
2007
Springer
15 years 3 months ago
2007
Springer
Monitoring host behavior in a network is one of the most essential tasks in the fields of network monitoring and security since more and more malicious code in the wild internet c...
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DASFAA
2007
IEEE
15 years 3 months ago
2007
IEEE
Subspace clustering (also called projected clustering) addresses the problem that different sets of attributes may be relevant for different clusters in high dimensional feature sp...