475 search results - page 9 / 95 » A Distance-Based Packing Method for High Dimensional Data |
ICDE
2008
IEEE
14 years 8 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...
IV
2007
IEEE
14 years 1 months ago
2007
IEEE
High-dimensional data is, by its nature, difficult to visualise. Many current techniques involve reducing the dimensionality of the data, which results in a loss of information. ...
SDM
2004
SIAM
13 years 8 months ago
2004
SIAM
Clustering suffers from the curse of dimensionality, and similarity functions that use all input features with equal relevance may not be effective. We introduce an algorithm that...
PR
2006
13 years 7 months ago
2006
Clustering algorithms are routinely used in biomedical disciplines, and are a basic tool in bioinformatics. Depending on the task at hand, there are two most popular options, the ...
APWEB
2006
Springer
13 years 11 months ago
2006
Springer
Clustering is to identify densely populated subgroups in data, while correlation analysis is to find the dependency between the attributes of the data set. In this paper, we combin...