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ICPR
2008
IEEE
14 years 8 months ago
Geodesic K-means clustering
We introduce a class of geodesic distances and extend the K-means clustering algorithm to employ this distance metric. Empirically, we demonstrate that our geodesic K-means algori...
Arian Maleki, Nima Asgharbeygi
DEXA
2009
Springer
175views Database» more  DEXA 2009»
14 years 2 months ago
RoK: Roll-Up with the K-Means Clustering Method for Recommending OLAP Queries
Dimension hierarchies represent a substantial part of the data warehouse model. Indeed they allow decision makers to examine data at different levels of detail with On-Line Analyt...
Fadila Bentayeb, Cécile Favre
HPDC
2012
IEEE
11 years 10 months ago
Exploring the performance and mapping of HPC applications to platforms in the cloud
This paper presents a scheme to optimize the mapping of HPC applications to a set of hybrid dedicated and cloud resources. First, we characterize application performance on dedica...
Abhishek Gupta, Laxmikant V. Kalé, Dejan S....
ANOR
2002
67views more  ANOR 2002»
13 years 7 months ago
Simple Product-Form Bounds for Queueing Networks with Finite Clusters
Queueing networks are studied with finite capacities for clusters of stations, rather than for individual stations. First, an instructive tandem cluster example is studied to show...
Nico M. van Dijk, Erik van der Sluis
CCGRID
2006
IEEE
14 years 1 months ago
An Overview of Security Issues in Cluster Interconnects
— Widespread use of cluster systems in diverse set of applications has spurred significant interest in providing high performance cluster interconnects. A major inefficiency in...
Manhee Lee, Eun Jung Kim, Ki Hwan Yum, Mazin S. Yo...