多変量解析法
15 の手法がこの系統にあります。
注目
多変量データにおける行と列の同時表示：バイプロット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 pointsCanonical Correlation AnalysisCanonical 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対応分析Correspondence Analysis (CA) is an exploratory multivariate technique for visualizing the association structure of a two-way contingency table. Developed systematically by Jean-Pau判別分析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線形判別分析（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共分散構造を持つ多変量分散分析（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
Reading path
This topic's most-referenced foundational methods, in the order they were developed — a place to start if you're new here.