计算机应用研究Issue(5)：1309-1312,4.DOI:10.3969/j.issn.1001-3695.2015.05.007
一种改进 NeuraI-Gas 算法的聚类新算法 CARD
Improved clustering algorithm CARD based on Neural-Gas algorithm
摘要
Abstract
This paper proposed a new clustering algorithm by improving existed algorithm Neural-Gas.The improvement was that the degree of influence of a point on a cluster centroid depended on the distance values between this point and the other more near cluster centroids,not just the sequence number arranged in the order of the distance value between this point and cluster centroids.Experimental results on several data sets show that on five indicators such as entropy,purity,F1 value,rand index and normalized mutual information this improved algorithm surpasses K-means,Neural-Gas and several other algorithms. The conclusion is that this improved algorithm is a better and faster algorithm.关键词
Neural-Gas 算法/聚类算法/距离值/排序Key words
Neural-Gas algorithm/clustering algorithm/distance value/order分类
信息技术与安全科学引用本文复制引用
朱烨行,李艳玲,杨献文..一种改进 NeuraI-Gas 算法的聚类新算法 CARD[J].计算机应用研究,2015,(5):1309-1312,4.基金项目
国家自然科学基金青年资助项目 （）
