A Novel Intelligent Hybrid Fuzzy Method for K-Means Algorithm
عنوان مقاله: A Novel Intelligent Hybrid Fuzzy Method for K-Means Algorithm
شناسه ملی مقاله: ITCC02_020
منتشر شده در دومین کنفرانس بین المللی و سومین همایش ملی کاربرد فناوری های نوین در علوم مهندسی در سال 1394
شناسه ملی مقاله: ITCC02_020
منتشر شده در دومین کنفرانس بین المللی و سومین همایش ملی کاربرد فناوری های نوین در علوم مهندسی در سال 1394
مشخصات نویسندگان مقاله:
Behzad Radmehr - Department of Computer Engineering, Khorasan Razavi Science & Research, Branch, Islamic Azad University Neyshabur , Iran
Reza Ghaemi - Department of Computer Engineering, Quchan Branch , Islamic Azad University, Quchan , Iran
Seyyed Majid Mazinani - Department of Computer & Electrical Engineering, Imam Reza University , Mashhad , Iran
خلاصه مقاله:
Behzad Radmehr - Department of Computer Engineering, Khorasan Razavi Science & Research, Branch, Islamic Azad University Neyshabur , Iran
Reza Ghaemi - Department of Computer Engineering, Quchan Branch , Islamic Azad University, Quchan , Iran
Seyyed Majid Mazinani - Department of Computer & Electrical Engineering, Imam Reza University , Mashhad , Iran
In this study , we want to focus on intelligent hybrid fuzzy methods for K-Means algorithm and we want to present a fuzzy model for this algorithm . This method is combined with other methods in order to improve the clustering mechanism . All kinds of hybrid fuzzy methods is helped to improve the performance of K-Means algorithm . We hope that , this paper is useful for the researchers work in machine learning scope
کلمات کلیدی: Intelligent Hybrid Fuzzy Methods , Machine Learning , Clustering Mechanism , K-Means Algorithm , Fuzzy C-Means Algorithm , Accuracy
صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/501648/