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EWSN
2007
Springer
14 years 7 months ago
An Energy-Efficient K-Hop Clustering Framework for Wireless Sensor Networks
Many applications in wireless sensor networks (WSNs) benefit significantly from organizing nodes into groups, called clusters, because data aggregation and data filtering applied i...
Quanbin Chen, Jian Ma, Yanmin Zhu, Dian Zhang, Lio...
EDM
2010
129views Data Mining» more  EDM 2010»
13 years 9 months ago
Skill Set Profile Clustering: The Empty K-Means Algorithm with Automatic Specification of Starting Cluster Centers
While students' skill set profiles can be estimated with formal cognitive diagnosis models [8], their computational complexity makes simpler proxy skill estimates attractive [...
Rebecca Nugent, Nema Dean, Elizabeth Ayers
MICCAI
2008
Springer
14 years 9 months ago
A Slicing-Based Coherence Measure for Clusters of DTI Integral Curves
We present a slicing-based coherence measure for clusters of DTI integral curves. For a given cluster, we probe samples from the cluster by slicing it with a plane at regularly spa...
Çagatay Demiralp, Gregory Shakhnarovich, So...
CHI
2010
ACM
14 years 2 months ago
Graphemes: self-organizing shape-based clustered structures for network visualisations
Network visualisations use clustering approaches to simplify the presentation of complex graph structures. We present a novel application of clustering algorithms, which controls ...
Ross Shannon, Aaron J. Quigley, Paddy Nixon
ICC
2007
IEEE
113views Communications» more  ICC 2007»
14 years 2 months ago
Load-Balanced Clustering Algorithms for Wireless Sensor Networks
— In this paper, we investigate the problem of grouping the sensor nodes into clusters to enhance the overall scalability of the network. A selected set of nodes, known as gatewa...
Chor Ping Low, Can Fang, Jim Mee Ng, Yew Hock Ang