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ICASSP
2010
IEEE
14 years 9 months ago
Swift: Scalable weighted iterative sampling for flow cytometry clustering
Flow cytometry (FC) is a powerful technology for rapid multivariate analysis and functional discrimination of cells. Current FC platforms generate large, high-dimensional datasets...
Iftekhar Naim, Suprakash Datta, Gaurav Sharma, Jam...
IJAR
2007
113views more  IJAR 2007»
14 years 9 months ago
Fuzzy clustering in parallel universes
We present an extension of the fuzzy c-Means algorithm, which operates simultaneously on different feature spaces—so-called parallel universes—and also incorporates noise det...
Bernd Wiswedel, Michael R. Berthold
HPDC
2002
IEEE
15 years 2 months ago
A High-Performance Cluster Storage Server
An essential building block for any Data Grid infrastructure is the storage server. In this paper we describe a high-performance cluster storage server built around the SDSC Stora...
Keith Bell, Andrew A. Chien, Mario Lauria
EUROPAR
2004
Springer
15 years 1 months ago
Efficient Parallel Hierarchical Clustering
Hierarchical agglomerative clustering (HAC) is a common clustering method that outputs a dendrogram showing all N levels of agglomerations where N is the number of objects in the d...
Manoranjan Dash, Simona Petrutiu, Peter Scheuerman...
ISMB
1998
14 years 11 months ago
Automated Clustering and Assembly of Large EST Collections
The avMlability of large EST(Expressed Sequence Tag)databases has led to a revolution in the waynew genes are cloned. Difficulties arise, however,due to high error rates and redun...
David P. Yee, Darrell Conklin