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将基聚类与原数据看作一个混合型数据,提出了一种基于混合型数据表示的聚类集成算法.该算法通过不断迭代更新以获得更好的基聚类,且结果保持了对原数据类结构和基聚类的一致性.与其他聚类集成算法进行了比较,结果表明,基于混合型数据表示的聚类集成算法是有效的.
Abstract：The base clustering and data set were regarded as a mix data. And a clustering ensemble algorithm based on mixed data representation was proposed. The algorithm could obtain better base clusterings by iterating and updating. And the algorithm results kept consensus for the structure of data and the base clusterings. Compared with other clustering ensemble algorithms,the results illustrated the effectiveness of the proposed algorithm.
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基本信息:
DOI：10.13705/j.issn.1671-6841.2018142
中图分类号:TP311.13
引用信息:
[1]李鑫,白亮.一种基于混合型数据表示的聚类集成算法[J],2019,51(02):90-93.DOI:10.13705/j.issn.1671-6841.2018142.
基金信息:
国家自然科学基金项目(61773247)
2018-05-14
2018
2019-03-07
2019
2