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» Scalable Density-Based Distributed Clustering
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HIPC
2005
Springer
15 years 5 months ago
The Impact of Noise on the Scaling of Collectives: A Theoretical Approach
The performance of parallel applications running on large clusters is known to degrade due to the interference of kernel and daemon activities on individual nodes, often referred t...
Saurabh Agarwal, Rahul Garg, Nisheeth K. Vishnoi
SDM
2004
SIAM
212views Data Mining» more  SDM 2004»
15 years 1 months ago
Clustering with Bregman Divergences
A wide variety of distortion functions, such as squared Euclidean distance, Mahalanobis distance, Itakura-Saito distance and relative entropy, have been used for clustering. In th...
Arindam Banerjee, Srujana Merugu, Inderjit S. Dhil...
SAC
2008
ACM
14 years 11 months ago
Knowledge-based semantic clustering
Users of the web are increasingly interested in tracking the appearance of new postings rather than locating existing knowledge. Coupled with this is the emergence of the Web 2.0 ...
John Keeney, Dominic Jones, Dominik Roblek, David ...
CONCUR
2005
Springer
15 years 5 months ago
Concurrent Clustered Programming
d Abstract) Vijay Saraswat1 and Radha Jagadeesan2 1 IBM T.J. Watson Research Lab 2 School of CTI, DePaul University Abstract. We present the concurrency and distribution primitives...
Vijay A. Saraswat, Radha Jagadeesan
CCGRID
2008
IEEE
15 years 6 months ago
Data Management Challenges of Data-Intensive Scientific Workflows
Scientific workflows play an important role in today’s science. Many disciplines rely on workflow technologies to orchestrate the execution of thousands of computational tasks. ...
Ewa Deelman, Ann L. Chervenak