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NETWORK
2006
302views more  NETWORK 2006»
15 years 17 days ago
Node clustering in wireless sensor networks: recent developments and deployment challenges
The large-scale deployment of wireless sensor networks (WSNs) and the need for data aggregation necessitate efficient organization of the network topology for the purpose of balan...
Ossama Younis, Marwan Krunz, Srinivasan Ramasubram...
122
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PAMI
2006
134views more  PAMI 2006»
15 years 17 days ago
A Genetic Algorithm Using Hyper-Quadtrees for Low-Dimensional K-means Clustering
The k-means algorithm is widely used for clustering because of its computational efficiency. Given n points in d-dimensional space and the number of desired clusters k, k-means see...
Michael Laszlo, Sumitra Mukherjee
103
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JUCS
2010
150views more  JUCS 2010»
14 years 11 months ago
SOM Clustering to Promote Interoperability of Directory Metadata: A Grid-Enabled Genetic Algorithm Approach
: Directories provide a general mechanism for describing resources and enabling information sharing within and across organizations. Directories must resolve differing structures a...
Lei Li, Vijay K. Vaishnavi, Art Vandenberg
IS
2006
15 years 18 days ago
A methodology for clustering XML documents by structure
The processing and management of XML data are popular research issues. However, operations based on the structure of XML data have not received strong attention. These operations ...
Theodore Dalamagas, Tao Cheng, Klaas-Jan Winkel, T...
IJCV
2007
115views more  IJCV 2007»
15 years 17 days ago
Discovering Shape Classes using Tree Edit-Distance and Pairwise Clustering
This paper describes work aimed at the unsupervised learning of shape-classes from shock trees. We commence by considering how to compute the edit distance between weighted trees. ...
Andrea Torsello, Antonio Robles-Kelly, Edwin R. Ha...