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» Adaptive K-Means Clustering
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KDD
2009
ACM
159views Data Mining» more  KDD 2009»
15 years 10 months ago
Adapting the right measures for K-means clustering
Clustering validation is a long standing challenge in the clustering literature. While many validation measures have been developed for evaluating the performance of clustering al...
Junjie Wu, Hui Xiong, Jian Chen
PARA
2000
Springer
15 years 1 months ago
Runtime Adaptation of an Iterative Linear System Solution to Distributed Environments
Abstract. Distributed cluster environments are becoming popular platforms for high performance computing in lieu of single-vendor supercomputers. However, the reliability and susta...
Masha Sosonkina
MONET
2007
110views more  MONET 2007»
14 years 9 months ago
Multi-hop Clustering Based on Neighborhood Benchmark in Mobile Ad-hoc Networks
— Large-scale mobile ad-hoc networks require flexible and stable clustered network structure for efficient data collection and dissemination. In this paper, a scheme is present...
Stephen S. Yau, Wei Gao
ICML
1995
IEEE
15 years 10 months ago
Visualizing High-Dimensional Structure with the Incremental Grid Growing Neural Network
Understanding high-dimensional real world data usually requires learning the structure of the data space. The structure maycontain high-dimensional clusters that are related in co...
Justine Blackmore, Risto Miikkulainen
82
Voted
ICASSP
2008
IEEE
15 years 4 months ago
Decentralized set-membership adaptive estimation for clustered sensor networks
This paper proposes a clustering approach to parameter estimation in distributed sensor networks. The proposed approach is an alternative to the conventional centralized and decen...
Stefan Werner, Mobien Mohammed, Yih-Fang Huang, Vi...