50 search results - page 4 / 10 » Using the fractal dimension to cluster datasets |
SDM
2009
SIAM
14 years 8 months ago
2009
SIAM
In high dimensional data, the general performance of traditional clustering algorithms decreases. This is partly because the similarity criterion used by these algorithms becomes ...
ISBI
2011
IEEE
13 years 2 months ago
2011
IEEE
Segmentation of tree-like structure within medical imaging modalities, such as x-ray, MRI, ultrasound, etc., is an important step for analyzing branching patterns involved in many...
VLDB
2007
ACM
14 years 11 months ago
2007
ACM
Abstract The notorious "dimensionality curse" is a wellknown phenomenon for any multi-dimensional indexes attempting to scale up to high dimensions. One well-known approa...
ICDE
2007
IEEE
14 years 5 months ago
2007
IEEE
The wide availability of large scale databases requires more efficient and scalable tools for data understanding and knowledge discovery. In this paper, we present a method to ...
IDEAL
2010
Springer
13 years 8 months ago
2010
Springer
: Covariance matrices capture correlations that are invaluable in modeling real-life datasets. Using all d2 elements of the covariance (in d dimensions) is costly and could result ...