Application of cluster analysis with weighted euclidean distance to classification of wine quality
FANG Shao-mei
ZHANG Ying-shu
MA Ya-cong
HUANG Guan-jia
Abstract：A new method of classification of wine quality was proposed. Based on aromatic matter, physical and chemical criterion of wine and grapes, firstly, the study used the stepwise regression to select main indexes. Then obtained the weight of each index by the principal component regression. Finally, improved the cluster analysis by using weighted Euclidean distance and classed the wine quality. The results show that red wine and white wine are classified into three groups respectively by the above method. The results are reasonable and this method is universalistic.
Keywords：classification of wine qualitystepwise regressionprincipal component regressioncluster analysisweight
Publication Date：2015-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 17-20 )