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CDC
2008
IEEE
117views Control Systems» more  CDC 2008»
14 years 9 months ago
Clustering in a network of mutually attracting agents
We introduce a model of mutually attracting agents in an arbitrary network, for which the long term behavior results in the emergence of several clusters. The cluster structure is ...
Filip De Smet, Dirk Aeyels
JNW
2007
132views more  JNW 2007»
14 years 9 months ago
Genetic Algorithm for Hierarchical Wireless Sensor Networks
— Large scale wireless sensor networks (WSNs) can be used for various pervasive and ubiquitous applications such as security, health-care, industry automation, agriculture, envir...
Sajid Hussain, Abdul Wasey Matin, Obidul Islam
KDD
2012
ACM
247views Data Mining» more  KDD 2012»
12 years 12 months ago
Integrating meta-path selection with user-guided object clustering in heterogeneous information networks
Real-world, multiple-typed objects are often interconnected, forming heterogeneous information networks. A major challenge for link-based clustering in such networks is its potent...
Yizhou Sun, Brandon Norick, Jiawei Han, Xifeng Yan...
BMCBI
2007
134views more  BMCBI 2007»
14 years 9 months ago
Nearest Neighbor Networks: clustering expression data based on gene neighborhoods
Background: The availability of microarrays measuring thousands of genes simultaneously across hundreds of biological conditions represents an opportunity to understand both indiv...
Curtis Huttenhower, Avi I. Flamholz, Jessica N. La...
110
Voted
BCB
2010
213views Bioinformatics» more  BCB 2010»
14 years 4 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...