An Immune-Evolutionary Algorithm for Multiple Rearrangements of Gene Expression Data
Genetic Programming and Evolvable Machines
Spatial clustering with obstacles constraints using particle swarm optimization
Proceedings of the 2nd international conference on Scalable information systems
Image classification using biologically inspired systems
MobiMedia '06 Proceedings of the 2nd international conference on Mobile multimedia communications
Spatial Clustering with Obstacles Constraints by Hybrid Particle Swarm Optimization with GA Mutation
ISNN '08 Proceedings of the 5th international symposium on Neural Networks: Advances in Neural Networks
Swarm optimized organizing map (SWOM): A swarm intelligence basedoptimization of self-organizing map
Expert Systems with Applications: An International Journal
Differential evolution and particle swarm optimisation in partitional clustering
Computational Statistics & Data Analysis
Particle Swarm Optimization for clustering short-text corpora
Proceedings of the 2009 conference on Computational Intelligence and Bioengineering: Essays in Memory of Antonina Starita
A Particle Swarm Optimization Method for Spatial Clustering with Obstacles Constraints
ICIC '07 Proceedings of the 3rd International Conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence
PAKDD'07 Proceedings of the 11th Pacific-Asia conference on Advances in knowledge discovery and data mining
Spatial clustering with obstacles constraints using ant colony and particle swarm optimization
PAKDD'07 Proceedings of the 2007 international conference on Emerging technologies in knowledge discovery and data mining
A fast divisive clustering algorithm using an improved discrete particle swarm optimizer
Pattern Recognition Letters
Flocking based approach for data clustering
Natural Computing: an international journal
Model order selection for multiple cooperative swarms clustering using stability analysis
Information Sciences: an International Journal
Multistrategy self-organizing map learning for classification problems
Computational Intelligence and Neuroscience
Particle swarm optimisation for data warehouse logical design
International Journal of Bio-Inspired Computation
Review article: Computational intelligence techniques in bioinformatics
Computational Biology and Chemistry
An efficient Particle Swarm Optimization approach to cluster short texts
Information Sciences: an International Journal
A parameter-free barebones particle swarm algorithm for unsupervised pattern classification
International Journal of Hybrid Intelligent Systems
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Gene clustering, the process of grouping related genes in the same cluster, is at the foundation of different genomic studies that aim at analyzing the function of genes. Microarray technologies have made it possible to measure gene expression levels for thousand of genes simultaneously. For knowledge to be extracted from the datasets generated by these technologies, the datasets have to be presented to a scientist in a meaningful way. Gene clustering methods serve this purpose. In this paper, a hybrid clustering approach that is based on Self-Organizing Maps and Particle Swarm Optimization is proposed. In the proposed algorithm, the rate of convergence is improved by adding a conscience factor to the Self-Organizing Maps algorithm. The robustness of the result is measured by using a resampling technique. The algorithm is implemented on a cluster of workstations.