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» A practical comparison of two K-Means clustering algorithms
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ICA3PP
2005
Springer
15 years 2 months ago
A Practical Comparison of Cluster Operating Systems Implementing Sequential and Transactional Consistency
Shared Memory is an interesting communication paradigm for SMP machines and clusters. Weak consistency models have been proposed to improve efficiency of shared memory applications...
Stefan Frenz, Renaud Lottiaux, Michael Schött...
70
Voted
CORR
2011
Springer
157views Education» more  CORR 2011»
14 years 4 months ago
Fast and Faster: A Comparison of Two Streamed Matrix Decomposition Algorithms
With the explosion of the size of digital dataset, the limiting factor for decomposition algorithms is the number of passes over the input, as the input is often stored out-of-cor...
Radim Rehurek
NDSS
2006
IEEE
15 years 3 months ago
Toward a Practical Data Privacy Scheme for a Distributed Implementation of the Smith-Waterman Genome Sequence Comparison Algorit
Volunteer distributed computations utilize spare processor cycles of personal computers that are connected to the Internet. The resulting platforms provide computational power pre...
Doug Szajda, Michael Pohl, Jason Owen, Barry G. La...
AI
2005
Springer
15 years 3 months ago
A Comparative Study of Two Density-Based Spatial Clustering Algorithms for Very Large Datasets
Spatial clustering is an active research area in spatial data mining with various methods reported. In this paper, we compare two density-based methods, DBSCAN and DBRS. First, we ...
Xin Wang, Howard J. Hamilton
ALENEX
2009
115views Algorithms» more  ALENEX 2009»
14 years 10 months ago
Experimental comparison of the two Fredman-Khachiyan-algorithms
We experimentally compare the two algorithms A and B by Fredman and Khachiyan [FK96] for the problem Monet--given two monotone Boolean formulas in DNF and in CNF, decide whether ...
Matthias Hagen, Peter Horatschek, Martin Mundhenk