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ESANN
2006
15 years 6 months ago
Hierarchical analysis of GSM network performance data
In this study, a method for hierarchical examination and visualization of GSM data using the Self-Organizing Map (SOM) is described. The data is examined in few phases. At first te...
Mikko Multanen, Kimmo Raivio, Pasi Lehtimäki
IPPS
2003
IEEE
15 years 10 months ago
Natural Block Data Decomposition for Heterogeneous Clusters
We propose general purposes natural heuristics for static block and block-cyclic heterogeneous data decomposition over processes of parallel program mapped into multidimensional g...
Egor Dovolnov, Alexey Kalinov, Sergey Klimov
180
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PAISI
2010
Springer
15 years 3 months ago
Efficient Privacy Preserving K-Means Clustering
Abstract. This paper introduces an efficient privacy-preserving protocol for distributed K-means clustering over an arbitrary partitioned data, shared among N parties. Clustering i...
Maneesh Upmanyu, Anoop M. Namboodiri, Kannan Srina...
EDM
2010
129views Data Mining» more  EDM 2010»
15 years 6 months ago
Skill Set Profile Clustering: The Empty K-Means Algorithm with Automatic Specification of Starting Cluster Centers
While students' skill set profiles can be estimated with formal cognitive diagnosis models [8], their computational complexity makes simpler proxy skill estimates attractive [...
Rebecca Nugent, Nema Dean, Elizabeth Ayers
BMCBI
2011
15 years 13 days ago
Motif-guided sparse decomposition of gene expression data for regulatory module identification
Background: Genes work coordinately as gene modules or gene networks. Various computational approaches have been proposed to find gene modules based on gene expression data; for e...
Ting Gong, Jianhua Xuan, Li Chen, Rebecca B. Riggi...