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COMGEO
2004
ACM
15 years 3 months ago
A local search approximation algorithm for k-means clustering
In k-means clustering we are given a set of n data points in d-dimensional space d and an integer k, and the problem is to determine a set of k points in d , called centers, to mi...
Tapas Kanungo, David M. Mount, Nathan S. Netanyahu...
WSC
2007
15 years 6 months ago
Agile optimization for coercion
Coercion combines flexible points, semi-automated optimization and expert guided manual code modification for adapting simulations to meet new requirements. Coercion can improve s...
Lingjia Tang, Paul F. Reynolds Jr.
CSB
2005
IEEE
182views Bioinformatics» more  CSB 2005»
15 years 9 months ago
Bacterial Whole Genome Phylogeny Using Proteome Comparison and Optimal Reversal Distance
Traditional phylogenetic tree reconstruction is based on point mutations of a single gene. This approach is hardly suitable for genomes whose genes are almost identical and hardly...
Noppadon Khiripet
MICAI
2005
Springer
15 years 9 months ago
Hybrid Particle Swarm - Evolutionary Algorithm for Search and Optimization
Particle Swarm Optimization (PSO) technique has proved its ability to deal with very complicated optimization and search problems. Several variants of the original algorithm have b...
Crina Grosan, Ajith Abraham, Sangyong Han, Alexand...
APVIS
2009
15 years 5 months ago
Optimized data transfer for time-dependent, GPU-based glyphs
Particle-based simulations are a popular tool for researchers in various sciences. In combination with the availability of ever larger COTS clusters and the consequently increasin...
Sebastian Grottel, Guido Reina, Thomas Ertl