资源受限核聚类人工免疫网络的研究与实现

Research and Implementation of Resource Limited Kernel Clustering Artificial Immune Network

聚类分析的两个基本任务是分析数据集中簇的数量以及这些簇的位置。在深入研究了核聚类方法及人工免疫网络的特性的基础上,引入资源受限机制,并讨论该机制在无监督自动聚类中的应用。实验结果表明,该机制能有效地提高聚类的收敛速度和分类效果。

The tasks of cluster analysis are to find out the number of clusters and their positions. Introduces the Resource-Limited mechanism based on data cluster and artificial Immune system. Discusses the application of this unsupervised cluster analysis. The results show that the effective mechanism can improve the convergence rate of clustering and classification results.