摘要
应用模糊聚类分析的思想和方法,综合考虑酿酒葡萄的各项理化指标,建立了葡萄酒分类的数学模型.一方面,通过对理化指标的相关性分析进行属性约简,刻画了理化指标之间的内在联系;另一方面,在属性约简的基础上对每个属性进行加权,经实验验证两方面均可以优化模糊聚类分析模型对葡萄酒质量的分类效果.
Considering the physical indicators of wine grapes,we establish mathematical model of classification of grape wine based on fuzzy clustering analysis. On the one hand,through correlation analysis of physical indicators,attributes can be reduced. This describes the intrinsic link between the chemical indicators. On the other hand,the weight of each attribute is given by analyzing attribute reduction. The experiment shows that both methods can optimize the results of classification of grape wine.
出处
《中国传媒大学学报（自然科学版）》
2015年第4期49-53,共5页
Journal of Communication University of China：Science and Technology
关键词
葡萄酒
理化指标
分类
模糊聚类分析
属性约简
grape wine
physical indicators
classify
fuzzy clustering analysis
attribute reduction
