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» Cluster Ensemble Selection
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107
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USITS
2003
15 years 1 months ago
Anypoint: Extensible Transport Switching on the Edge
Anypoint is a new model for one-to-many communication with ensemble sites—aggregations of end nodes that appear to the external Internet as a unified site. Policies for routing...
Ken Yocum, Darrell C. Anderson, Jeffrey S. Chase, ...
BMCBI
2011
14 years 7 months ago
Predicting functionally important SNP classes based on negative selection
Background: With the advent of cost-effective genotyping technologies, genome-wide association studies allow researchers to examine hundreds of thousands of single nucleotide poly...
Mark A. Levenstien, Robert J. Klein
120
Voted
ML
2010
ACM
127views Machine Learning» more  ML 2010»
14 years 11 months ago
Stability and model selection in k-means clustering
Abstract Clustering Stability methods are a family of widely used model selection techniques for data clustering. Their unifying theme is that an appropriate model should result in...
Ohad Shamir, Naftali Tishby
FLAIRS
2004
15 years 1 months ago
Adaptive K-Means Clustering
Clustering is used to organize data for efficient retrieval. One of the problems in clustering is the identification of clusters in given data. A popular technique for clustering ...
Sanjiv K. Bhatia
CIDM
2009
IEEE
15 years 5 months ago
An architecture and algorithms for multi-run clustering
—This paper addresses two main challenges for clustering which require extensive human effort: selecting appropriate parameters for an arbitrary clustering algorithm and identify...
Rachsuda Jiamthapthaksin, Christoph F. Eick, Vadee...