Evaluation of methods of initial Non-random selection centroids in Kmeansclustering
عنوان مقاله: Evaluation of methods of initial Non-random selection centroids in Kmeansclustering
شناسه ملی مقاله: CITCONF03_417
منتشر شده در سومین کنفرانس بین المللی پژوهشهای کاربردی در مهندسی کامپیوتر و فن آوری اطلاعات در سال 1394
شناسه ملی مقاله: CITCONF03_417
منتشر شده در سومین کنفرانس بین المللی پژوهشهای کاربردی در مهندسی کامپیوتر و فن آوری اطلاعات در سال 1394
مشخصات نویسندگان مقاله:
Seyyed Masood Khademi - Department of Computer, Isfahan (Khorasgan) Branch, Islamic Azad University, Isfahan, Iran
Farsad Zamani Boroujeni - Department of Computer, Isfahan (Khorasgan) Branch, Islamic Azad University, Isfahan, Iran
خلاصه مقاله:
Seyyed Masood Khademi - Department of Computer, Isfahan (Khorasgan) Branch, Islamic Azad University, Isfahan, Iran
Farsad Zamani Boroujeni - Department of Computer, Isfahan (Khorasgan) Branch, Islamic Azad University, Isfahan, Iran
Clustering process is the same data in the form of the cluster grouping. One of the techniques used in dataanalysis is cluster analysis, and one of the most popular clustering algorithms is k-means clustering. The initialcentroids generated randomly by the k-means algorithm that considers centroids great impact on the speed and accuracyof the final clusters. And also, the results of which are sensitive to the initial centroids. So the initial centroids for nonrandomshould be selected carefully. To resolve this, many researchers in this field determined to improve k-meansclustering. This paper introduces some methods of non-random selection of initial centroids, investigating theadvantages and disadvantages of them.
کلمات کلیدی: Clustering, Initial Centroids, k-means clustering, non-random centroids
صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/466988/