Biclustering of Expression Data
Proceedings of the Eighth International Conference on Intelligent Systems for Molecular Biology
Introduction to Evolutionary Computing
Introduction to Evolutionary Computing
Biclustering Algorithms for Biological Data Analysis: A Survey
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Biclustering of Expression Data with Evolutionary Computation
IEEE Transactions on Knowledge and Data Engineering
BicAT: a biclustering analysis toolbox
Bioinformatics
Fundamentals of Computational Swarm Intelligence
Fundamentals of Computational Swarm Intelligence
Multi-objective evolutionary biclustering of gene expression data
Pattern Recognition
Applying Biclustering to Perform Collaborative Filtering
ISDA '07 Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications
bicACO: An Ant Colony Inspired Biclustering Algorithm
ANTS '08 Proceedings of the 6th international conference on Ant Colony Optimization and Swarm Intelligence
Applying biclustering to text mining: an immune-inspired approach
ICARIS'07 Proceedings of the 6th international conference on Artificial immune systems
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Fish School Search (FSS) is a recently-proposed metaheuristic inspired by the collective behavior of fish schools. In this paper, we provide a preliminary assessment of FSS while coping with the task of mining coherent and sizeable biclusters from gene expression and collaborative filtering data. For this purpose, experiments were conducted on two real-world datasets whereby the performance of FSS was compared with that exhibited by two other population-based metaheuristics, namely, Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). The results achieved demonstrate the usefulness of FSS while tackling the biclustering problem.