基于宽度优先搜索的聚类算法的研究

随着计算机技术的迅猛发展以及网络技术的普及,人们有更多机会通过网络与外界进行信息交流。然而,随着数据大量的涌入,增加了我们获取有用信息的难度,数据挖掘正是在这一背景下诞生的。聚类分析是数据挖掘中的一种重要技术,是分析数据并从中发现有用信息的一种有效手段。本文主要研究的是基于宽度优先搜索的聚类分析算法。

Clustering Algorithm Research Based on Breadth-first Search

With the rapid development of computer technology and network technology to the public,people have more opportunities to network with the outside world through the exchange of information.However,with the influx of a large number of data,the difficulty we obtain useful information increased.The contradiction between the rapid data increase and the lag of data processing method growing,people want to be able to analyze large amounts of data on the existing basis for scientific research,commercial decisions and business management.Data mining was born.Cluster analysis is an important data mining technique to analyze data and discover useful information,and it is very effective.This paper mainly studies the clustering algorithm based on the Level Iterated theory.