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» Distributed Data Clustering Can Be Efficient and Exact
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153
Voted
KDD
2007
ACM
124views Data Mining» more  KDD 2007»
15 years 10 months ago
Hierarchical mixture models: a probabilistic analysis
Mixture models form one of the most widely used classes of generative models for describing structured and clustered data. In this paper we develop a new approach for the analysis...
Mark Sandler
126
Voted
KDD
2005
ACM
177views Data Mining» more  KDD 2005»
15 years 10 months ago
Combining partitions by probabilistic label aggregation
Data clustering represents an important tool in exploratory data analysis. The lack of objective criteria render model selection as well as the identification of robust solutions...
Tilman Lange, Joachim M. Buhmann
CCGRID
2010
IEEE
15 years 5 months ago
Asynchronous Communication Schemes for Finite Difference Methods on Multiple GPUs
Finite difference methods continue to provide an important and parallelisable approach to many numerical simulations problems. Iterative multigrid and multilevel algorithms can co...
Daniel P. Playne, Kenneth A. Hawick
KDD
2010
ACM
199views Data Mining» more  KDD 2010»
15 years 8 months ago
Online discovery and maintenance of time series motifs
The detection of repeated subsequences, time series motifs, is a problem which has been shown to have great utility for several higher-level data mining algorithms, including clas...
Abdullah Mueen, Eamonn J. Keogh
CCGRID
2010
IEEE
15 years 5 months ago
A Map-Reduce System with an Alternate API for Multi-core Environments
Map-reduce framework has received a significant attention and is being used for programming both large-scale clusters and multi-core systems. While the high productivity aspect of ...
Wei Jiang, Vignesh T. Ravi, Gagan Agrawal