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» Accelerated EM-based clustering of large data sets
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FLAIRS
2004
13 years 9 months ago
Adaptive K-Means Clustering
Clustering is used to organize data for efficient retrieval. One of the problems in clustering is the identification of clusters in given data. A popular technique for clustering ...
Sanjiv K. Bhatia
DASFAA
2005
IEEE
137views Database» more  DASFAA 2005»
14 years 1 months ago
A General Approach to Mining Quality Pattern-Based Clusters from Microarray Data
Abstract. Pattern-based clustering has broad applications in microarray data analysis, customer segmentation, e-business data analysis, etc. However, pattern-based clustering often...
Daxin Jiang, Jian Pei, Aidong Zhang
GCB
2003
Springer
105views Biometrics» more  GCB 2003»
14 years 1 months ago
In silico prediction of UTR repeats using clustered EST data
Clustering of EST data is a method for the non-redundant representation of an organisms transcriptome. During clustering of large amounts of EST data, usually some large clusters ...
Stefan A. Rensing, Daniel Lang, Ralf Reski
TVCG
2012
213views Hardware» more  TVCG 2012»
11 years 10 months ago
Mesh-Driven Vector Field Clustering and Visualization: An Image-Based Approach
—Vector field visualization techniques have evolved very rapidly over the last two decades, however, visualizing vector fields on complex boundary surfaces from computational ...
Zhenmin Peng, Edward Grundy, Robert S. Laramee, Gu...
GRID
2003
Springer
14 years 1 months ago
Applying Database Support for Large Scale Data Driven Science in Distributed Environments
There is a rapidly growing set of applications, referred to as data driven applications, in which analysis of large amounts of data drives the next steps taken by the scientist, e...
Sivaramakrishnan Narayanan, Ümit V. Ça...