610 search results - page 1 / 122 » A Novel Framework for Discovering Robust Cluster Results |
DIS
2006
Springer
13 years 11 months ago
2006
Springer
We propose a novel method, called heterogeneous clustering ensemble (HCE), to generate robust clustering results that combine multiple partitions (clusters) derived from various cl...
SIGMOD
2008
ACM
14 years 7 months ago
2008
ACM
The increasing complexity of enterprise databases and the prevalent lack of documentation incur significant cost in both understanding and integrating the databases. Existing solu...
KDD
2004
ACM
14 years 26 days ago
2004
ACM
We present a graph-theoretic approach to discover storylines from search results. Storylines are windows that offer glimpses into interesting themes latent among the top search re...
ICDE
1999
IEEE
14 years 8 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...
IJIS
2007
13 years 7 months ago
2007
Algorithms for clustering web search results have to be efficient and robust. Furthermore they must be able to cluster a dataset without using any kind of a priori information, s...