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BMCBI
2011
13 years 3 months ago
A novel approach to the clustering of microarray data via nonparametric density estimation
Background: Cluster analysis is a crucial tool in several biological and medical studies dealing with microarray data. Such studies pose challenging statistical problems due to di...
Riccardo De Bin, Davide Risso
ICASSP
2008
IEEE
14 years 2 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...
CN
2000
69views more  CN 2000»
13 years 7 months ago
Hierarchical source routing using implied costs
Based on a loss network model, we present an adaptive source routing scheme for a large, hierarchically organized network. To represent the ``available'' capacity of a p...
Michael Montgomery, Gustavo de Veciana
ICNSC
2007
IEEE
14 years 2 months ago
Adaptive Network Flow Clustering
— Flow level measurements are used to provide insights into the traffic flow crossing a network link. However, existing flow based network detection devices lack adaptive reconfi...
Sui Song, Zhixiong Chen
CIT
2004
Springer
13 years 11 months ago
Adaptive Neural Network-Based Clustering of Yeast Protein-Protein Interactions
Abstract. In this paper, we presents an adaptive neural network based clustering method to group protein
Jae-Hong Eom, Byoung-Tak Zhang