多元方法
15 种方法属于此方法族。
精选
双标图:多元数据中行和列的同时显示A biplot is a low-dimensional graphical representation of a multivariate data matrix that simultaneously displays both the observations (rows) and the variables (columns) as points典型相关分析Canonical Correlation Analysis (CCA) is a multivariate statistical method that identifies pairs of linear combinations — one from each of two variable sets — such that the correlat对应分析Correspondence Analysis (CA) is an exploratory multivariate technique for visualizing the association structure of a two-way contingency table. Developed systematically by Jean-Pau判别分析Discriminant analysis finds linear combinations of predictor variables that best separate two or more known groups. It is used both to understand which predictors distinguish the g线性判别分析 (LDALinear Discriminant Analysis (LDA) is a parametric supervised classification method that finds the linear combination of continuous predictors that best separates two or more prede协方差多变量分析 (MANCOVA)MANCOVA (Multivariate Analysis of Covariance) is a parametric hypothesis test that simultaneously compares two or more groups on multiple continuous dependent variables while stati
阅读路径
本主题被引用最多的基础方法,按其提出的先后顺序排列——若您初次接触,不妨从这里开始。