应用于大数据集的聚类新算法设计

抽象的聚类分析是数据挖掘研究的重要领域.随着数据量每3年翻一番,关键问题是如何对大型数据集高效率地进行聚类操作.文章首先将当前主流的聚类算法应用于大规模数据集,通过实验指出现有的聚类技术存在的关键问题及所面临的技术挑战,然后使用了数据聚合树(DA树)作为代表性大型数据集的数据结构,设计了一个新的聚集算法(CLUK算法)...

Application of new clustering algorithm designed for large data sets

Clustering is one of important fields of research in data mining and is under vigorous development in recent years.With the amount of data doubling every three years,the key problem is how to do clustering on large data set efficiently and effectively.This paper focuses on application of current clustering analysis for large data sets,points out the key problem and technical challenges of existing clustering algorithms and presents proposal of solutions.Using a data structure DA-Tree(Data Aggregation Tree) ...