113 search results - page 8 / 23 » Locally adaptive metrics for clustering high dimensional dat... |
PAKDD
2005
ACM
14 years 25 days ago
2005
ACM
In several contexts and domains, hierarchical agglomerative clustering (HAC) offers best-quality results, but at the price of a high complexity which reduces the size of datasets ...
ICML
2008
IEEE
14 years 8 months ago
2008
IEEE
In this paper we study how to improve nearest neighbor classification by learning a Mahalanobis distance metric. We build on a recently proposed framework for distance metric lear...
PR
2006
13 years 7 months ago
2006
The performance of many supervised and unsupervised learning algorithms is very sensitive to the choice of an appropriate distance metric. Previous work in metric learning and ada...
ICDM
2007
IEEE
14 years 1 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...
VLDB
2007
ACM
14 years 7 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...