Valerian, Gevin and Sutrisno, Tri and Herwindiati, Dyah E. Image clustering using genetic algorithm with tournament selection and uniform crossover. Image clustering using genetic algorithm with tournament selection and uniform crossover.
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Abstract
This study aims to test genetic algorithm with tournament selection and
uniform crossover for clustering complicated images. Genetic algorithm can be used for
searching the optimum centroid for clustering images. Images that used in this study is
beach images, city images, traditional market images, and garden images. Based on the
research result genetic algorithm with tournament selection and uniform crossover can
be used for clustering images but there is some outlier in formed cluster. Based on trial
the best parameters for image clustering with genetic algorithm with tournament
selection and uniform crossover is population=200, iteration=200, and number of
cluster=2. Fitness value on genetic algorithm is increase when population and iteration
value are higher. The result of this study can be used as a reference in the development
of images clustering.
| Item Type: | Article |
|---|---|
| Subjects: | Penelitian > Fakultas Teknologi Informasi |
| Divisions: | Fakultas Teknologi Informasi > Teknik Informatika |
| Depositing User: | Puskom untar untar |
| Date Deposited: | 08 Dec 2020 08:46 |
| Last Modified: | 08 Dec 2020 08:46 |
| URI: | https://repotest.untar.ac.id/id/eprint/13335 |
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