基于抗原免疫原性的非均匀免疫网络(IaiNet)聚类  

Inhomogeneous Artificial Immune net(IaiNet) Clustering Based on the Immunogenicity of Antigen

作　　者：劳丽[1] 叶德云[1] 王运莉 

机构地区：[1]广东水利电力职业技术学院,广东广州510635

出　　处：《广东水利电力职业技术学院学报》2014年第1期30-32,共3页Journal of Guangdong Polytechnic of Water Resources and Electric Engineering

基　　金：广东省自然科学基金(04020048);广东省科技计划工业攻关项目(2004B10401012)

摘　　要：在生物免疫系统中抗体的产生受抗原免疫原性的影响,对此,提出一种非均匀免疫网络的聚类算法:将免疫原性引入到人工免疫网络的进化过程中,生成一个反映数据样本特征的非均匀免疫网络。实验结果证明该算法对数据聚类中类边界不清晰以及有数据噪声状况有很好的辨别效果。In this paper an inhomogeneous artificial immune net(IaiNet) for clustering is presented according to the immunogenicity of the antigen in biology immune system. The algorithm introduces the immunogenicity of the antigen into the evolution of artificial immune net(aiNet). The algorithm treats the data sample as the antigen, and treats the characteristic of the data sample as the immunogenicity of the antigen. The resultant network is an inhomogeneous internal image which reflects the characteristic of the data samples. The test results show that the algorithm achieves better performances on the clustering problem of the ambiguity clusters boundary and the noises.

关 键 词：聚类分析 免疫算法 非均匀免疫网络 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]