کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
406955 678119 2014 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A fuzzy support vector machine algorithm for classification based on a novel PIM fuzzy clustering method
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
A fuzzy support vector machine algorithm for classification based on a novel PIM fuzzy clustering method
چکیده انگلیسی

The support vector machine (SVM) has provided excellent performance and has been widely used in real-world classification problems. Fuzzy methods used on the SVM solve the problem that the SVM is sensitive to the outliers or noises in the training set. In this paper, a novel partition index maximization (PIM) clustering method is studied to get a more reasonable and robust fuzzy membership for fuzzy SVM (FSVM). First, we improve the PIM clustering algorithm to cluster each of the two classes from the training set to get proper data centers. Then an algorithm is given to modify the boundary of PIM and form a new training set with fuzzy membership degrees. Finally, we use FSVM to induce the final decision function to show classification results. All the results indicate that the performance of PIM-FSVM is excellent.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 125, 11 February 2014, Pages 119–124
نویسندگان
, , ,