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CSB
2005
IEEE
115views Bioinformatics» more  CSB 2005»
15 years 10 months ago
A New Clustering Strategy with Stochastic Merging and Removing Based on Kernel Functions
With hierarchical clustering methods, divisions or fusions, once made, are irrevocable. As a result, when two elements in a bottom-up algorithm are assigned to one cluster, they c...
Huimin Geng, Hesham H. Ali
KDD
2002
ACM
166views Data Mining» more  KDD 2002»
16 years 4 months ago
Frequent term-based text clustering
Text clustering methods can be used to structure large sets of text or hypertext documents. The well-known methods of text clustering, however, do not really address the special p...
Florian Beil, Martin Ester, Xiaowei Xu
GECCO
2004
Springer
105views Optimization» more  GECCO 2004»
15 years 9 months ago
An Enhanced Genetic Algorithm for DNA Sequencing by Hybridization with Positive and Negative Errors
Abstract. This paper describes a genetic algorithm for the DNA sequencing problem. The algorithm allows the input spectrum to contain both positive and negative errors as could be ...
Thang Nguyen Bui, Waleed A. Youssef
CEC
2007
IEEE
15 years 10 months ago
Computational intelligence algorithms for risk-adjusted trading strategies
Abstract— This paper investigates the performance of trading strategies identified through Computational Intelligence techniques. We focus on trading rules derived by Genetic Pr...
Nicos G. Pavlidis, E. G. Pavlidis, Michael G. Epit...
ICNC
2005
Springer
15 years 10 months ago
Drawing Undirected Graphs with Genetic Algorithms
This paper proposes an improved genetic algorithm for producing aesthetically pleasing drawings of general undirected graphs. Previous undirected graph drawing algorithms draw larg...
Qing-Guo Zhang, Huayong Liu, Wei Zhang, Ya-Jun Guo