Data mining based on fuzzy rough set theory and its application in the glass identification

Ruying Sun, Rongcang Han
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引用次数: 9

Abstract

To overcome the disadvantage of determining artificially the class number, fuzzy C means clustering is introduced to fuzzify the continual attribute, and the best minute class number is obtained by cluster validity analysis. The relationship of glass composition and its application is excavated using data mining method in this paper.
基于模糊粗糙集理论的数据挖掘及其在玻璃识别中的应用
为克服人工确定类数的缺点,引入模糊C均值聚类对连续属性进行模糊化,通过聚类效度分析获得最佳最小类数。本文采用数据挖掘的方法,挖掘了玻璃成分与其应用的关系。
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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