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

International Journal of Mathematical Modelling & Computations

مقاله 4، دوره 3، 2 (SPRING)، فروردین 2013، صفحه 109-114   

نویسندگان

Saba Sajadi؛ Majid Amirfakhrian

Iran, Islamic Republic of

چکیده

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 compare this method with K-nearest neighbor and K-means.
 

کلیدواژه‌ها

Clustering؛ Fuzzy K- nearest neighbor؛ K- nearest neighbor؛ K-means