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LREC
2008
129views Education» more  LREC 2008»
15 years 3 months ago
Spectral Clustering for a Large Data Set by Reducing the Similarity Matrix Size
Spectral clustering is a powerful clustering method for document data set. However, spectral clustering needs to solve an eigenvalue problem of the matrix converted from the simil...
Hiroyuki Shinnou, Minoru Sasaki
GCC
2006
Springer
15 years 5 months ago
Design of Computational Grid-based Intelligence ART1 Classification System for Bioinformatics Applications
Computational Grid technology has been noticed as an issue to solve large-scale bioinformatics-related problems and improves data accuracy and processing speed on multiple computa...
Kyu Cheol Cho, Yong Beom Ma, Jong Sik Lee
CIKM
2006
Springer
15 years 5 months ago
Adaptive non-linear clustering in data streams
Data stream clustering has emerged as a challenging and interesting problem over the past few years. Due to the evolving nature, and one-pass restriction imposed by the data strea...
Ankur Jain, Zhihua Zhang, Edward Y. Chang
ICDE
2009
IEEE
171views Database» more  ICDE 2009»
16 years 3 months ago
A Framework for Clustering Massive-Domain Data Streams
In this paper, we will examine the problem of clustering massive domain data streams. Massive-domain data streams are those in which the number of possible domain values for each a...
Charu C. Aggarwal
CLUSTER
2005
IEEE
15 years 7 months ago
A Case for Cooperative and Incentive-Based Coupling of Distributed Clusters
Interest in Grid computing has grown significantly over the past five years. Management of distributed cluster resources is a key issue in Grid computing. Central to management ...
Rajiv Ranjan, Rajkumar Buyya, Aaron Harwood