83 search results - page 6 / 17 » Scalable Clustering Algorithms with Balancing Constraints |
KDD
2007
ACM
14 years 8 months ago
2007
ACM
Clustering methods can be either data-driven or need-driven. Data-driven methods intend to discover the true structure of the underlying data while need-driven methods aims at org...
TKDE
2012
11 years 10 months ago
2012
—The pairwise constraints specifying whether a pair of samples should be grouped together or not have been successfully incorporated into the conventional clustering methods such...
CCGRID
2010
IEEE
13 years 5 months ago
2010
IEEE
Data-intensive parallel applications on clouds need to deploy large data sets from the cloud's storage facility to all compute nodes as fast as possible. Many multicast algori...
PDCAT
2004
Springer
14 years 1 months ago
2004
Springer
Abstract. Agent-based simulation of large multicellular biological systems has become a viable option owing to affordable parallel computers, such as Beowulf-style clusters. We de...
ICPR
2008
IEEE
14 years 2 months ago
2008
IEEE
This paper presents a new algorithm named Kernel Bisecting k-means and Sample Removal (KBK-SR) as a sampling preprocessing for SVM training to improve the scalability. The novel c...