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177
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BCB
2010
213views Bioinformatics» more  BCB 2010»
14 years 10 months ago
Markov clustering of protein interaction networks with improved balance and scalability
Markov Clustering (MCL) is a popular algorithm for clustering networks in bioinformatics such as protein-protein interaction networks and protein similarity networks. An important...
Venu Satuluri, Srinivasan Parthasarathy, Duygu Uca...
143
Voted
TVLSI
2010
14 years 10 months ago
Enhancing the Area Efficiency of FPGAs With Hard Circuits Using Shadow Clusters
There is a dramatic logic density gap between FPGAs and ASICs, and this gap is the main reason FPGAs are not cost-effective in high volume applications. Modern FPGAs narrow this ga...
Peter A. Jamieson, Jonathan Rose
147
Voted
WCRE
2010
IEEE
15 years 2 months ago
Evaluating the Impact of Software Evolution on Software Clustering
—The evolution of a software project is a rich data source for analyzing and improving the software development process. Recently, several research groups have tried to cluster s...
Fabian Beck, Stephan Diehl
180
Voted
JDCTA
2010
228views more  JDCTA 2010»
14 years 10 months ago
Research and Progress of Cluster Algorithms based on Granular Computing
Granular Computing (GrC), a knowledge-oriented computing which covers the theory of fuzzy information granularity, rough set theory, the theory of quotient space and interval comp...
Shifei Ding, Li Xu, Hong Zhu, Liwen Zhang
ICDE
2010
IEEE
173views Database» more  ICDE 2010»
15 years 10 months ago
Progressive clustering of networks using Structure-Connected Order of Traversal
— Network clustering enables us to view a complex network at the macro level, by grouping its nodes into units whose characteristics and interrelationships are easier to analyze ...
Dustin Bortner, Jiawei Han