مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

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Information Journal Paper

Title

FUZZY K -NEAREST NEIGHBOR METHOD TO CLASSIFY DATA IN A CLOSED AREA

Pages

  109-114

Abstract

 Clustering of objects is an important area of research and application in variety of fields. In this paper we present a good technique for data CLUSTERING and application of this technique for data CLUSTERING in a closed area. We compared this method with K-NEAREST NEIGHBOR and K-MEANS.

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  • Cite

    APA: Copy

    AMIRFAKHRIAN, M., & SAJADI, S.. (2013). FUZZY K -NEAREST NEIGHBOR METHOD TO CLASSIFY DATA IN A CLOSED AREA. INTERNATIONAL JOURNAL OF MATHEMATICAL MODELLING & COMPUTATION, 3(2), 109-114. SID. https://sid.ir/paper/328300/en

    Vancouver: Copy

    AMIRFAKHRIAN M., SAJADI S.. FUZZY K -NEAREST NEIGHBOR METHOD TO CLASSIFY DATA IN A CLOSED AREA. INTERNATIONAL JOURNAL OF MATHEMATICAL MODELLING & COMPUTATION[Internet]. 2013;3(2):109-114. Available from: https://sid.ir/paper/328300/en

    IEEE: Copy

    M. AMIRFAKHRIAN, and S. SAJADI, “FUZZY K -NEAREST NEIGHBOR METHOD TO CLASSIFY DATA IN A CLOSED AREA,” INTERNATIONAL JOURNAL OF MATHEMATICAL MODELLING & COMPUTATION, vol. 3, no. 2, pp. 109–114, 2013, [Online]. Available: https://sid.ir/paper/328300/en

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