77 search results - page 6 / 16 » Clustering for metric and non-metric distance measures |
CVPR
2003
IEEE
14 years 10 months ago
2003
IEEE
We wish to match sets of images to sets of images where both sets are undergoing various distortions such as viewpoint and lighting changes. To this end we have developed a Joint ...
ECML
2006
Springer
14 years 9 days ago
2006
Springer
A critical problem in clustering research is the definition of a proper metric to measure distances between points. Semi-supervised clustering uses the information provided by the ...
ICDE
1999
IEEE
14 years 10 months ago
1999
IEEE
Clustering, in data mining, is useful to discover distribution patterns in the underlying data. Clustering algorithms usually employ a distance metric based (e.g., euclidean) simi...
ADMI
2010
Springer
13 years 10 months ago
2010
Springer
A Multi-Agent based approach to clustering using a generic Multi-Agent Data Mining (MADM) framework is described. The process use a collection of agents, running several different ...
IJHPCN
2008
13 years 8 months ago
2008
: We propose a set of statistical metrics for making a comprehensive, fair, and insightful evaluation of features, clustering algorithms, and distance measures in representative sa...