3 Result(s)
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Chapter and Conference Paper
Class-Dependent Weighted Feature Selection as a Bi-Level Optimization Problem
Feature selection aims at selecting relevant features from the original feature set, but these features do not have the same degree of importance. This can be achieved by feature weighting, which is a method f...
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Chapter and Conference Paper
Hybridization of the Ant Colony Optimization with the K-Means Algorithm for Clustering
In this paper the novel concept of ACO and its learning mechanism is integrated with the K-means algorithm to solve image clustering problems. The learning mechanism of the proposed algorithm is obtained by us...
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Chapter and Conference Paper
Image Segmentation Using Dynamic Run-Length Coding Technique
In this study, a new segmentation algorithm based on a modified Dynamic Window-based gray-level Run-Length Coding (DW-RLC) applied to neighboring pixels is proposed. The method is applied to gray scale images,...
