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» A Genetic Algorithm for Clustering on Very Large Data Sets
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AAAI
2008
13 years 11 months ago
Visualization of Large-Scale Weighted Clustered Graph: A Genetic Approach
In this paper, a bottom-up hierarchical genetic algorithm is proposed to visualize clustered data into a planar graph. To achieve global optimization by accelerating local optimiz...
Jiayu Zhou, Youfang Lin, Xi Wang
FMSD
2006
85views more  FMSD 2006»
13 years 8 months ago
Distributed disk-based algorithms for model checking very large Markov chains
In this paper we present data structures and distributed algorithms for CSL model checking-based performance and dependability evaluation. We show that all the necessary computatio...
Alexander Bell, Boudewijn R. Haverkort
KDD
2008
ACM
140views Data Mining» more  KDD 2008»
14 years 9 months ago
Semi-supervised approach to rapid and reliable labeling of large data sets
Supervised classification methods have been shown to be very effective for a large number of applications. They require a training data set whose instances are labeled to indicate...
György J. Simon, Vipin Kumar, Zhi-Li Zhang
TSMC
2008
189views more  TSMC 2008»
13 years 8 months ago
Automatic Clustering Using an Improved Differential Evolution Algorithm
Differential evolution (DE) has emerged as one of the fast, robust, and efficient global search heuristics of current interest. This paper describes an application of DE to the aut...
Swagatam Das, Ajith Abraham, Amit Konar
BMCBI
2005
72views more  BMCBI 2005»
13 years 8 months ago
Shortest triplet clustering: reconstructing large phylogenies using representative sets
Background: Understanding the evolutionary relationships among species based on their genetic information is one of the primary objectives in phylogenetic analysis. Reconstructing...
Le Sy Vinh, Arndt von Haeseler