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Chapter and Conference Paper
A Hybrid Rough K-Means Algorithm and Particle Swarm Optimization for Image Classification
This paper proposes a hybrid rough K-means algorithm for image classification. The rough set theory is used to establish the lower and upper bound for data clustering in the K-means algorithm. Then, the partic...
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Chapter and Conference Paper
Using Ant Colony Optimization and Self-organizing Map for Image Segmentation
In this study, ant colony optimization (ACO) is integrated with the self-organizing map (SOM) for image segmentation. A comparative study with the combination of ACO and Simple Competitive Learning (SCL) is pr...