Sciweavers

3699 search results - page 151 / 740
» Clustering with Qualitative Information
Sort
View
KDD
2004
ACM
150views Data Mining» more  KDD 2004»
16 years 2 months ago
A framework for ontology-driven subspace clustering
Traditional clustering is a descriptive task that seeks to identify homogeneous groups of objects based on the values of their attributes. While domain knowledge is always the bes...
Jinze Liu, Wei Wang 0010, Jiong Yang
SIGMOD
2001
ACM
200views Database» more  SIGMOD 2001»
16 years 2 months ago
Data Bubbles: Quality Preserving Performance Boosting for Hierarchical Clustering
In this paper, we investigate how to scale hierarchical clustering methods (such as OPTICS) to extremely large databases by utilizing data compression methods (such as BIRCH or ra...
Markus M. Breunig, Hans-Peter Kriegel, Peer Kr&oum...
SIGIR
2003
ACM
15 years 7 months ago
ReCoM: reinforcement clustering of multi-type interrelated data objects
Most existing clustering algorithms cluster highly related data objects such as Web pages and Web users separately. The interrelation among different types of data objects is eith...
Jidong Wang, Hua-Jun Zeng, Zheng Chen, Hongjun Lu,...
CLUSTER
2002
IEEE
15 years 7 months ago
Leveraging Standard Core Technologies to Programmatically Build Linux Cluster Appliances
Clusters have made the jump from lab prototypes to fullfledged production computing platforms. The number, variety, and specialized configurations of these machines are increasi...
Mason J. Katz, Philip M. Papadopoulos, Greg Bruno
BMCBI
2008
142views more  BMCBI 2008»
15 years 2 months ago
Genetic weighted k-means algorithm for clustering large-scale gene expression data
Background: The traditional (unweighted) k-means is one of the most popular clustering methods for analyzing gene expression data. However, it suffers three major shortcomings. It...
Fang-Xiang Wu