数据挖掘领域中的聚类分析

Cluster Analysis in the Field of Research in Data Mining

从算法的角度,阐述了如何在数据挖掘中进行聚类分析,并对典型的聚类方法进行比较分析,以利于人们根据各种聚类分析方法的优缺点和适用的领域,选择出适合特定问题的聚类方法。

This paper introduces how to perform duster analysis in data mining in terms of different algorithms of K-means, K- prototypes, K-medoids, and CLARANS, and typical clustering methods are compared and analyzed. It is beneficial to seleet duster analysis to solve speeifle problems in aeeordanee with advantages, disadvantages and applieation fields of various duster analysis.