UNSUPERVISED IMAGE CLUSTERING USING CENTRAL FORCE OPTIMIZATION ALGORITHM

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MOZAFARI MAREF M.H.; ZAHIRI S.H.

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Journal: NASHRIYYAH -I MUHANDISI -I BARQ VA MUHANDISI -I KAMPYUTAR -I IRAN, B- MUHANDISI -I KAMPYUTAR Year:2013 | Volume:11 | Issue:1 Page(s): 52-57

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Information Journal Paper

Title

UNSUPERVISED IMAGE CLUSTERING USING CENTRAL FORCE OPTIMIZATION ALGORITHM

Author(s)

MOZAFARI MAREF M.H. | ZAHIRI S.H. | Issue Writer Certificate

Keywords

CENTRAL FORCE OPTIMIZATIONQ2

IMAGE PROCESSINGQ2

CLUSTERINGQ2

Abstract

CENTRAL FORCE OPTIMIZATION (CFO) is a new member of heuristic algorithms which has been recently proposed and added to swarm intelligence algorithms. In this paper, an effective unsupervised image CLUSTERING technique is proposed, using CFO and called CFO-clustering. In the presented method, each probe includes the information of center of the clusters, and fitness function contains both inter-distance and intra-distance of the samples. Extensive experimental results show that the proposed CFO-clustering outperforms other similar CLUSTERING algorithms which were designed based on the evolutionary techniques.

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APA: Copy

MOZAFARI MAREF, M.H., & ZAHIRI, S.H.. (2013). UNSUPERVISED IMAGE CLUSTERING USING CENTRAL FORCE OPTIMIZATION ALGORITHM. NASHRIYYAH -I MUHANDISI -I BARQ VA MUHANDISI -I KAMPYUTAR -I IRAN, B- MUHANDISI -I KAMPYUTAR, 11(1), 52-57. SID. https://sid.ir/paper/228419/en

Vancouver: Copy

MOZAFARI MAREF M.H., ZAHIRI S.H.. UNSUPERVISED IMAGE CLUSTERING USING CENTRAL FORCE OPTIMIZATION ALGORITHM. NASHRIYYAH -I MUHANDISI -I BARQ VA MUHANDISI -I KAMPYUTAR -I IRAN, B- MUHANDISI -I KAMPYUTAR[Internet]. 2013;11(1):52-57. Available from: https://sid.ir/paper/228419/en

IEEE: Copy

M.H. MOZAFARI MAREF, and S.H. ZAHIRI, “UNSUPERVISED IMAGE CLUSTERING USING CENTRAL FORCE OPTIMIZATION ALGORITHM,” NASHRIYYAH -I MUHANDISI -I BARQ VA MUHANDISI -I KAMPYUTAR -I IRAN, B- MUHANDISI -I KAMPYUTAR, vol. 11, no. 1, pp. 52–57, 2013, [Online]. Available: https://sid.ir/paper/228419/en

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