CIVILICA We Respect the Science
(ناشر تخصصی کنفرانسهای کشور / شماره مجوز انتشارات از وزارت فرهنگ و ارشاد اسلامی: ۸۹۷۱)

Evaluation of the intelligent hybrid methods to improve the performance of K-Means and C-Means algorithms

عنوان مقاله: Evaluation of the intelligent hybrid methods to improve the performance of K-Means and C-Means algorithms
شناسه ملی مقاله: ITCC01_522
منتشر شده در کنفرانس بین المللی پژوهش های کاربردی در فناوری اطلاعات، کامپیوتر ومخابرات در سال 1394
مشخصات نویسندگان مقاله:

Behzad Radmehr - Department of Computer Engineering,Khorasan Razavi Science & Research Branch,Islamic Azad niversity,Neyshabur,Iran
Reza Ghaemi - Department of Computer Engineering,Quchan branch,Islamic Azad University,Quchan,Iran

خلاصه مقاله:
In this paper , The intelligent hybrid methods are used for improving the performance of K-means and C-means algorithms. . To achieve this, these methods are explained in order to improve the performance of these two data mining algorithms. Some suggestions are provided for this aim. The methods used for explaining in relation to C-means algorithms are fuzzy C-means algorithm, combination of fuzzy markov model with evolution algorithms, combination of neural network with C-means algorighm.

کلمات کلیدی:
Data Mining , Cluster Analysis , Hybrid Intelligant Methods , K-Means Algorithm , C-Means Algorithm , Neural Networks , Fuzzy Algorithms , Evolution Algorithms

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/451309/