文章基本信息

标题：Logarithmic Spiral-based Construction of RBF Classifiers
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作者：Mohamed Wajih Guerfala ; Amel Sifaoui ; Afef Abdelkrim 等
期刊名称：International Journal of Advanced Computer Science and Applications(IJACSA)
印刷版ISSN：2158-107X
电子版ISSN：2156-5570
出版年度：2017
卷号：8
期号：2
DOI：10.14569/IJACSA.2017.080235
出版社：Science and Information Society (SAI)
摘要：Clustering process is defined as grouping similar objects together into homogeneous groups or clusters. Objects that belong to one cluster should be very similar to each other, but objects in different clusters will be dissimilar. It aims to simplify the representation of the initial data. The automatic classification recovers all the methods allowing the automatic construction of such groups. This paper describes the design of radial basis function (RBF) neural classifiers using a new algorithm for characterizing the hidden layer structure. This algorithm, called k-means Mahalanobis distance, groups the training data class by class in order to calculate the optimal number of clusters of the hidden layer, using two validity indexes. To initialize the initial clusters of k-means algorithm, the method of logarithmic spiral golden angle has been used. Two real data sets (Iris and Wine) are considered to improve the efficiency of the proposed approach and the obtained results are compared with basic literature classifier
关键词：thesai; IJACSA Volume 8 Issue 2; Radial Basis Function neural network; classification; k -means; validity index of Davis Bouldin; Mean Squared Error; Mahalanobis distance; Logarithmic spiral; golden angle; golden ratio