Neural Computing and Applications, ( ISI ), Volume (32), No (16), Year (2020-8) , Pages (12949-12969)

Title : ( An enhanced KNN-based twin support vector machine with stable learning rules )

Authors: Jalal A. Nasiri , a. mir ,

Citation: BibTeX | EndNote


Among the extensions of twin support vector machine (TSVM), some scholars have utilized K-nearest neighbor (KNN) graph to enhance TSVM’s classification accuracy. However, these KNN-based TSVM classifiers have two major issues such as high computational cost and overfitting. In order to address these issues, this paper presents an enhanced regularized K-nearest neighbor-based twin support vector machine (RKNN-TSVM). It has three additional advantages: (1) Weight is given to each sample by considering the distance from its nearest neighbors. This further reduces the effect of noise and outliers on the output model. (2) An extra stabilizer term was added to each objective function. As a result, the learning rules of the proposed method are stable. (3) To reduce the computational cost of finding KNNs for all the samples, location difference of multiple distances-based K-nearest neighbors algorithm (LDMDBA) was embedded into the learning process of the proposed method. The extensive experimental results on several synthetic and benchmark datasets show the effectiveness of our proposed RKNN-TSVM in both classification accuracy and computational time. Moreover, the largest speedup in the proposed method reaches to 14 times.


, Twin support vector machine K, nearest neighbor Distance, weighted Stable learning Machine learning
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author = {Nasiri, Jalal A. and امیر محمود میر},
title = {An enhanced KNN-based twin support vector machine with stable learning rules},
journal = {Neural Computing and Applications},
year = {2020},
volume = {32},
number = {16},
month = {August},
issn = {0941-0643},
pages = {12949--12969},
numpages = {20},
keywords = {Twin support vector machine K-nearest neighbor Distance-weighted Stable learning Machine learning},


%0 Journal Article
%T An enhanced KNN-based twin support vector machine with stable learning rules
%A Nasiri, Jalal A.
%A امیر محمود میر
%J Neural Computing and Applications
%@ 0941-0643
%D 2020