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» A divide-and-merge methodology for clustering
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2006
116views more  ADHOC 2006»
14 years 10 months ago
Efficient clustering algorithms for self-organizing wireless sensor networks
Self-organization of wireless sensor networks, which involves network decomposition into connected clusters, is a challenging task because of the limited bandwidth and energy reso...
Rajesh Krishnan, David Starobinski
EUROMICRO
2000
IEEE
15 years 2 months ago
Efficient Image Compression of Medical Images Using the Wavelet Transform and Fuzzy c-means Clustering on Regions of Interest
This paper suggests a novel image compression scheme, using the discrete wavelet transformation (DWT) and the fuzzy c-means clustering technique. The goal is to achieve higher com...
Dimitris A. Karras, S. A. Karkanis, Dimitrios E. M...
PVM
2004
Springer
15 years 3 months ago
MPI Cluster System Software
We describe the use of MPI for writing system software and tools, an area where it has not been previously applied. By “system software” we mean collections of tools used for s...
Narayan Desai, Rick Bradshaw, Andrew Lusk, Ewing L...
ACL
1998
14 years 11 months ago
Automatic Retrieval and Clustering of Similar Words
Bootstrapping semantics from text is one of the greatest challenges in natural language learning. We first define a word similarity measure based on the distributional pattern of ...
Dekang Lin
BMCBI
2006
90views more  BMCBI 2006»
14 years 10 months ago
Dissecting trait heterogeneity: a comparison of three clustering methods applied to genotypic data
Background: Trait heterogeneity, which exists when a trait has been defined with insufficient specificity such that it is actually two or more distinct traits, has been implicated...
Tricia A. Thornton-Wells, Jason H. Moore, Jonathan...