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» Robust Hierarchical Clustering
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CLUSTER
2004
IEEE
14 years 1 months ago
Hierarchical Bloom filter arrays (HBA): a novel, scalable metadata management system for large cluster-based storage
An efficient and distributed scheme for file mapping or file lookup scheme is critical in decentralizing metadata management within a group of metadata servers. This paper present...
Yifeng Zhu, Hong Jiang, Jun Wang
JCST
2008
159views more  JCST 2008»
13 years 10 months ago
Coordinated Workload Scheduling in Hierarchical Sensor Networks for Data Fusion Applications
To minimize the execution time of a sensing task over a multi-hop hierarchical sensor network, we present a coordinated scheduling method following the divisible load scheduling p...
Xiao-Lin Li, Jiannong Cao
BMCBI
2010
153views more  BMCBI 2010»
13 years 10 months ago
Challenges in microarray class discovery: a comprehensive examination of normalization, gene selection and clustering
Background: Cluster analysis, and in particular hierarchical clustering, is widely used to extract information from gene expression data. The aim is to discover new classes, or su...
Eva Freyhult, Mattias Landfors, Jenny Önskog,...
EUROMICRO
2011
IEEE
12 years 9 months ago
Software Product Quality in Global Software Development: Finding Groups with Aligned Goals
— The development of a software product in an organization involves various groups of stakeholders who may prioritize the qualities of the product differently. This paper present...
Panagiota Chatzipetrou, Lefteris Angelis, Sebastia...
ACIVS
2008
Springer
14 years 4 months ago
Knee Point Detection in BIC for Detecting the Number of Clusters
Bayesian Information Criterion (BIC) is a promising method for detecting the number of clusters. It is often used in model-based clustering in which a decisive first local maximum ...
Qinpei Zhao, Ville Hautamäki, Pasi Fränt...