不确定数据流聚类算法综述

2015 Eighth International Conference on Internet Computing for Science and Engineering (ICICSE) Pub Date : 2015-11-06 DOI:10.1109/ICICSE.2015.30

Yue Yang, Zhuo Liu, Zhidan Xing

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引用次数: 5

摘要

由于数据的不确定性和聚类过程中时间和空间的限制，聚类不确定数据流成为一项非常具有挑战性的任务。人们不断地提出了许多处理算法。本文综述了不确定数据流的聚类算法，并分析了这些算法的优缺点，以供今后的发展。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A Review of Uncertain Data Stream Clustering Algorithms

Because of data uncertainty and time and space limitations in clustering process, clustering uncertain data stream becomes a very challenging task. A lot of processing algorithms has been proposed continuously. This paper reviews clustering algorithms of uncertain data stream and dissects the advantages and disadvantages of these algorithms for future development.

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来源期刊

2015 Eighth International Conference on Internet Computing for Science and Engineering (ICICSE)

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