475 search results - page 27 / 95 » A Distance-Based Packing Method for High Dimensional Data |
BMCBI
2006
13 years 7 months ago
2006
Background: The neighbor-joining method by Saitou and Nei is a widely used method for constructing phylogenetic trees. The formulation of the method gives rise to a canonical (n3)...
ICDE
2012
IEEE
11 years 10 months ago
2012
IEEE
—Outlier mining is a major task in data analysis. Outliers are objects that highly deviate from regular objects in their local neighborhood. Density-based outlier ranking methods...
PKDD
2009
Springer
14 years 2 months ago
2009
Springer
Most existing semi-supervised learning methods are based on the smoothness assumption that data points in the same high density region should have the same label. This assumption, ...
CVPR
2008
IEEE
14 years 9 months ago
2008
IEEE
We consider the problem of dimensionality reduction, where given high-dimensional data we want to estimate two mappings: from high to low dimension (dimensionality reduction) and f...
EDBT
2006
ACM
13 years 11 months ago
2006
ACM
Utilizing spatial index structures on secondary memory for nearest neighbor search in high-dimensional data spaces has been the subject of much research. With the potential to host...