122 search results - page 7 / 25 » Scalable and Interpretable Data Representation for High-Dime... |
KDD
2009
ACM
15 years 5 months ago
2009
ACM
To discover patterns in historical data, climate scientists have applied various clustering methods with the goal of identifying regions that share some common climatological beha...
RECOMB
2008
Springer
15 years 10 months ago
2008
Springer
A major hindrance to studies of microbial diversity has been that the vast majority of microbes cannot be cultured in the laboratory and thus are not amenable to traditional method...
103
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KDD
2008
ACM
15 years 11 months ago
2008
ACM
Document classification presents difficult challenges due to the sparsity and the high dimensionality of text data, and to the complex semantics of the natural language. The tradi...
128
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BTW
2009
Springer
14 years 11 months ago
2009
Springer
Abstract: Multimedia databases are increasingly common in science, business, entertainment and many other applications. Their size and high dimensionality of features are major cha...
ICDM
2007
IEEE
15 years 4 months ago
2007
IEEE
Support vector clustering transforms the data into a high dimensional feature space, where a decision function is computed. In the original space, the function outlines the bounda...