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Comparison Among Image Clustering Algorithms | ||
| Diyala Journal For Pure Science | ||
| Article 1, Volume 7, Issue 3, 2011, Pages 242-258 | ||
| Author | ||
| Khalid Mohammed Saffer | ||
| Abstract | ||
| Data clustering is a fundamental operation used in unsupervised images generallyclustering involves asset of data (e.g.: image pixels) into specified no of clusters, themotivation behind clustering is to find inherit structure in the data and to expose the structureas asset of groups.Our search concern with taking image clustering problem using four clustering algorithmsnamed K-mean, K-median, PSO and hybrid of two algorithms, PSO and k-mean. Thesealgorithms applied on three gray brain images then compare the results. | ||
| Keywords | ||
| clustering; mean; median; PSO and hybrid of PSO and k | ||
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