1836 search results - page 33 / 368 » Mining Clustering Dimensions |
SIGMOD
1998
ACM
14 years 21 days ago
1998
ACM
Data mining applications place special requirements on clustering algorithms including: the ability to nd clusters embedded in subspaces of high dimensional data, scalability, end...
PKDD
2004
Springer
14 years 1 months ago
2004
Springer
Three methods for combining multiple clustering systems are presented and evaluated, focusing on the problem of finding the correspondence between clusters of different systems. ...
FLAIRS
2001
13 years 10 months ago
2001
Clustering is a discoveringprocess of meaningfulintbrmationby groupingsimilar data into compactclusters. Mostof traditional clustering methodsare in favor of small datasets andhav...
SSDBM
2006
IEEE
14 years 2 months ago
2006
IEEE
The detection of correlations between different features in high dimensional data sets is a very important data mining task. These correlations can be arbitrarily complex: One or...
VLDB
1994
ACM
14 years 17 days ago
1994
ACM
Spatial data mining is the discovery of interesting relationships and characteristics that may exist implicitly in spatial databases. In this paper, we explore whether clustering ...