基于颗粒计算的定性数据聚类模型研究

AASRI Procedia Pub Date : 2013-01-01 DOI:10.1016/j.aasri.2013.10.048

Haiyan Li, Shen Yang, Hong Liu

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引用次数: 3

摘要

在传统定性数据分析方法的基础上，将计算机领域的颗粒计算理论引入到定性数据的统计分析中。利用信息系统描述了多维定性数据，给出了基于粒度计算的定性数据聚类模型的数学模型。通过对海量数据的处理，验证了该方法的可行性和优越性。该方法可为海量复杂定性数据的分析提供一种新的思路。

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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Study of Qualitative Data Cluster Model based on Granular Computing

Granular computing theories in the field of computer are introduced into the statistical analysis of qualitative data, based on the traditional qualitative data analysis methods. Multidimensional qualitative data by use of information system are described, and the mathematical model of qualitative data cluster model based on granular computing is given. The feasibility and the superiority are verified by treating massive data. This method may provide a new train of thought for analysis of large and complex qualitative data.

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