title: Twin support vector machine for clustering.
abstract: The twin support vector machine (TWSVM) is one of the powerful classification methods. In this brief, a TWSVM-type clustering method, called twin support vector clustering (TWSVC), is proposed. Our TWSVC includes both linear and nonlinear versions. It determines k cluster center planes by solving a series of quadratic programming problems. To make TWSVC more efficient and stable, an initialization algorithm based on the nearest neighbor graph is also suggested. The experimental results on several benchmark data sets have shown a comparable performance of our TWSVC.
authors.forename: Zhen
authors.initials: Z
authors.lastname: Wang
authors.forename: Yuan-Hai
authors.initials: YH
authors.lastname: Shao
authors.forename: Lan
authors.initials: L
authors.lastname: Bai
authors.forename: Nai-Yang
authors.initials: NY
authors.lastname: Deng