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» Scalability for Clustering Algorithms Revisited
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COCOON
2007
Springer
13 years 8 months ago
An Improved Algorithm for Online Unit Clustering
Abstract. We revisit the online unit clustering problem in one dimension which we recently introduced at WAOA'06: given a sequence of n points on the line, the objective is to...
Hamid Zarrabi-Zadeh, Timothy M. Chan
KDD
2001
ACM
152views Data Mining» more  KDD 2001»
14 years 5 months ago
A scalable algorithm for clustering protein sequences
Valerie Guralnik, George Karypis
JASIS
2007
122views more  JASIS 2007»
13 years 4 months ago
Exploiting parallelism to support scalable hierarchical clustering
A distributed memory parallel version of the group average Hierarchical Agglomerative Clustering algorithm is proposed to enable scaling the document clustering problem to large c...
Rebecca Cathey, Eric C. Jensen, Steven M. Beitzel,...
CCGRID
2008
IEEE
13 years 6 months ago
Scheduling Dynamic Workflows onto Clusters of Clusters using Postponing
In this article, we revisit the problem of scheduling dynamically generated directed acyclic graphs (DAGs) of multi-processor tasks (M-tasks). A DAG is a basic model for expressin...
Sascha Hunold, Thomas Rauber, Frédér...
KDD
2006
ACM
112views Data Mining» more  KDD 2006»
14 years 5 months ago
K-means clustering versus validation measures: a data distribution perspective
K-means is a widely used partitional clustering method. While there are considerable research efforts to characterize the key features of K-means clustering, further investigation...
Hui Xiong, Junjie Wu, Jian Chen