计算技术与自动化2016，Vol.35Issue(2)：34-37,4.
一种实现混合属性数据流聚类的算法
A Mixed Attribute Data Stream Clustering Algorithm to Achieve
摘要
Abstract
In today's network there are three forms of data flow ,i .e .,continuous data streams ,data streams and mixed nominal type attribute data stream .Most algorithms in data mining can only process one form rather than mixed forms of da-ta flow ,but practically in the applications of data mining ,it often requires to distinguish different attributes of the data stream .So the authors proposed a mixed attribute data stream clustering algorithm ,and the clustering idea of the algorithm is : ① to extract mixed attribute data classification property stream , ② to use k-nearest neighbor algorithm for data stream classification attributes similarities , ③ according to k-nearest neighbor algorithm ,to calculate the similarity of the results of the data stream using k-means clustering algorithm for mixed attribute data stream poly class , ④ to give the clustering algo-rithm .关键词
混合属性数据/相似性/k - 近邻算法/k - 均值聚类/分类属性Key words
mixed attribute data/similarity/k-nearest neighbor/k-means clustering/classification properties分类
计算机与自动化引用本文复制引用
朱俚治,朱梧檟..一种实现混合属性数据流聚类的算法[J].计算技术与自动化,2016,35(2):34-37,4.基金项目
北京航空航天大学软件开发环境国家重点实验室开放基金资助项目 （）
