基于MapReduce的ISODATA算法

2012 Third International Conference on Intelligent Control and Information Processing Pub Date : 2012-07-15 DOI:10.1109/ICICIP.2012.6391498

Cong Wan, Cuirong Wang, Xin Song

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引用次数: 2

摘要

聚类分析是一种应用于生物学、医学、商业和市场营销等各个领域的数学方法。ISODATA算法是一种应用广泛的聚类算法。随着信息技术的发展，数据集急剧膨胀，这对传统的算法提出了巨大的挑战。并行计算是解决这类问题的主要方法之一。基于著名的分布式计算框架MapReduce，提出了一种并行ISODATA算法。实验表明，该方法大大提高了算法的效率。

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A MapReduce based ISODATA algorithm

Cluster analysis is a mathematical method that applied in various fields, such as biology, medicine, business and marketing. ISODATA algorithm is a Clustering algorithm that has been widely used. With the development of information technology, data set expanded dramatically which becomes a great challenge to the traditional algorithm. Parallel computing is one of the main methods to solve such problem. We have proposed a Parallel ISODATA algorithm based on MapReduce which is a famous distributed computing framework. Experiments show that it greatly improves the efficiency of the algorithm.

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2012 Third International Conference on Intelligent Control and Information Processing

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