关键词:基因微阵列; 基因分类; 最小二乘; 隶属度函数; 模糊支持向量机
Classification of genes based on least squares fuzzy support vector machines
LUO Jia-wei, SU Han-mu, CHEN Tao
(College of Computer & Communications, Hunan University, Changsha 410082, China)
Abstract:With the emergence of a large amount of genetic data, divided the mass of data into a relatively small number of group can help to extract of physiology and medicine and other valuable biological information. Gene classification techniques can be very good at handling and analyzing the genetic data. This paper proposed fuzzy least squares support vector machine method which applied to gene classification. Defined the contribution of each sample by setting the fuzzy memberships.By considering the distance not only between the types of samples and the center of classification, but also between the samples and samples, noises and outliers were removed. The performance of the proposed method on the United States Wisconsin breast cancer database (WDBC) data and Pima Indians diabetes(PID) data are all achieved very good results. ......