ART-based Hierarchical Clustering Algorithm Using Quadratic Junction Neural Networks
使用二次连接神经网络的基于ART的分层聚类算法

In this paper, structure and properties of neural networks with quadratic junction are presented. Unsupervised learning rules about the neural networks are given. Using this kind of neural networks, an ART-based hierarchical clustering algorithm is suggested. The time and space complexity of the algorithm is discussed. A 2-D artificial data set is used to illustrate and compare the effectiveness of the proposed algorithm and K-means algorithm.