Clustering with Intelligent Linexk-Means

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Ahmadzadehgoli N.; BEHZADI M.H.; MOHAMMADPOUR A.

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Journal: JOURNAL OF NEW RESEARCHES IN MATHEMATICS Year:2018 | Volume:4 | Issue:14 Page(s): 5-14

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Title

Clustering with Intelligent Linexk-Means

Author(s)

Ahmadzadehgoli N. | BEHZADI M.H. | MOHAMMADPOUR A. | Issue Writer Certificate

Keywords

dissimilarity measureQ1

intelligent K-meansQ1

ClusteringQ1

LINEX loss functionQ1

Abstract

The intelligent LINEX k-means Clustering is a generalization of the k-means Clustering so that the number of clusters and their related centroid can be determined while the LINEX loss function is considered as the dissimilarity measure. Therefore, the selection of the centers in each cluster is not randomly. Choosing the LINEX dissimilarity measure helps the researcher to overestimate or underestimate the centers which helps to assign some entities into a special cluster. We check the performance of the algorithm on some real and artificial datasets and evaluate the results according to some internal and external indexes.

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APA: Copy

Ahmadzadehgoli, N., BEHZADI, M.H., & MOHAMMADPOUR, A.. (2018). Clustering with Intelligent Linexk-Means. JOURNAL OF NEW RESEARCHES IN MATHEMATICS, 4(14 ), 5-14. SID. https://sid.ir/paper/257379/en

Vancouver: Copy

Ahmadzadehgoli N., BEHZADI M.H., MOHAMMADPOUR A.. Clustering with Intelligent Linexk-Means. JOURNAL OF NEW RESEARCHES IN MATHEMATICS[Internet]. 2018;4(14 ):5-14. Available from: https://sid.ir/paper/257379/en

IEEE: Copy

N. Ahmadzadehgoli, M.H. BEHZADI, and A. MOHAMMADPOUR, “Clustering with Intelligent Linexk-Means,” JOURNAL OF NEW RESEARCHES IN MATHEMATICS, vol. 4, no. 14 , pp. 5–14, 2018, [Online]. Available: https://sid.ir/paper/257379/en

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