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» Clustering on Complex Graphs
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IWPC
2010
IEEE
15 years 2 months ago
DepDigger: A Tool for Detecting Complex Low-Level Dependencies
We present a tool that identifies complex data-flow dependencies on code-level, based on the measure dep-degree. Low-level dependencies between program operations are modeled by...
Dirk Beyer, Ashgan Fararooy
IPPS
2006
IEEE
15 years 10 months ago
Easy and reliable cluster management: the self-management experience of Fire Phoenix
High-Performance clusters are rapidly becoming an important computing platform for both scientific and business applications. To fulfill the new demands and challenges, cluster sy...
Zhihong Zhang, Dan Meng, Jianfeng Zhan, Lei Wang, ...
IWPC
1996
IEEE
15 years 8 months ago
Evaluating process clusters to support automatic program understanding
Evaluating the design of a distributed application is di cult but provides useful information for program development and maintenance. In distributed debugging, for example, proce...
Thomas Kunz
JIDM
2010
122views more  JIDM 2010»
15 years 2 months ago
Revisiting "Privacy Preserving Clustering by Data Transformation"
Preserving the privacy of individuals when data are shared for clustering is a complex problem. The challenge is how to protect the underlying data values subjected to clustering w...
Stanley R. M. Oliveira, Osmar R. Zaïane
ECEASST
2010
15 years 1 months ago
Self Organized Swarms for cluster preserving Projections of high-dimensional Data
: A new approach for topographic mapping, called Swarm-Organized Projection (SOP) is presented. SOP has been inspired by swarm intelligence methods for clustering and is similar to...
Alfred Ultsch, Lutz Herrmann