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Information Journal Paper

Title

Clustering with Intelligent Linexk-Means

Pages

  5-14

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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  • Cite

    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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