26 search results - page 2 / 6 » Clustering-based approaches to SAGE data mining |
PKDD
2000
Springer
13 years 8 months ago
2000
Springer
: One way to scale up clustering algorithms is to squash the data by some intelligent compression technique and cluster only the compressed data records. Such compressed data recor...
IJCAI
2003
13 years 5 months ago
2003
Huge amounts of data are stored in autonomous, geographically distributed sources. The discovery of previously unknown, implicit and valuable knowledge is a key aspect of the expl...
DMKD
1997
ACM
13 years 8 months ago
1997
ACM
Clustering in data mining is a discovery process that groups a set of data such that the intracluster similarity is maximized and the intercluster similarity is minimized. These d...
PAKDD
2007
ACM
13 years 10 months ago
2007
ACM
While null space based linear discriminant analysis (NLDA) obtains a good discriminant performance, the ability easily suffers from an implicit assumption of Gaussian model with sa...
SADM
2008
13 years 3 months ago
2008
: In this article, we propose an efficient and effective method for finding arbitrarily oriented subspace clusters by mapping the data space to a parameter space defining the set o...