A spectral clustering algorithm based on intuitionistic fuzzy information

Dawei Xu; Zeshui Xu; Shousheng Liu; Hua Zhao

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A spectral clustering algorithm based on intuitionistic fuzzy information

机译：基于直觉模糊信息的谱聚类算法

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摘要

In this paper, we propose a technique for clustering data with intuitionistic fuzzy information. We first define two new intuitionistic fuzzy similarity measures, and then use it to construct an intuitionistic fuzzy similarity measure matrix, by which we present a spectral algorithm to cluster intuitionistic fuzzy information. At last, two numerical examples are given to illustrate and verify our algorithm.

机译：在本文中，我们提出了一种利用直觉模糊信息对数据进行聚类的技术。我们首先定义了两个新的直觉模糊相似度度量，然后使用它来构建直觉模糊相似度度量矩阵，通过此矩阵，我们提出了一种频谱算法来对直觉模糊信息进行聚类。最后，给出了两个数值例子来说明和验证我们的算法。

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来源
《Knowledge-Based Systems》 |2013年第11期|20-26|共7页
作者
Dawei Xu; Zeshui Xu; Shousheng Liu; Hua Zhao;
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作者单位

College of Sciences, PLA University of Science and Technology, Nanjing 211101, China;

College of Sciences, PLA University of Science and Technology, Nanjing 211101, China;

College of Sciences, PLA University of Science and Technology, Nanjing 211101, China;

College of Sciences, PLA University of Science and Technology, Nanjing 211101, China;

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原文格式 PDF
正文语种 eng
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关键词
Intuitioniscic fuzzy set; Intuitionistic fuzzy similarity degree; Graph laplacians; Spectral clustering; Algorithm;

机译：直觉模糊集直觉模糊相似度;图拉普拉斯人;光谱聚类;算法;

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A spectral clustering algorithm based on intuitionistic fuzzy information

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