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IJDMMM
2010
128views more  IJDMMM 2010»
13 years 6 months ago
Graphical models based hierarchical probabilistic community discovery in large-scale social networks
: Real-world social networks, while disparate in nature, often comprise of a set of loose clusters (a.k.a. communities), in which members are better connected to each other than to...
Haizheng Zhang, Ke Ke, Wei Li, Xuerui Wang
ICCNMC
2005
Springer
14 years 1 months ago
Hierarchical Multicast Tree Algorithms for Application Layer Mesh Networks
This paper proposes a set of novel multicast algorithms for m-D mesh overlay networks that can achieve shorter multicast delay and less resource consumptions. In contrast to previo...
Weijia Jia, Wanqing Tu, Jie Wu
EUC
2005
Springer
14 years 1 months ago
Energy-Driven Adaptive Clustering Hierarchy (EDACH) for Wireless Sensor Networks
Wireless sensor network consists of small battery powered sensors. Therefore, energy consumption is an important issue and several schemes have been proposed to improve the lifetim...
Kyung Tae Kim, Hee Yong Youn
KDD
2004
ACM
150views Data Mining» more  KDD 2004»
14 years 8 months ago
A framework for ontology-driven subspace clustering
Traditional clustering is a descriptive task that seeks to identify homogeneous groups of objects based on the values of their attributes. While domain knowledge is always the bes...
Jinze Liu, Wei Wang 0010, Jiong Yang
ICPR
2008
IEEE
14 years 9 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