Kaedah multivariat
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Biplot: Paparan Serentak Baris dan Lajur dalam Data MultivariatA biplot is a low-dimensional graphical representation of a multivariate data matrix that simultaneously displays both the observations (rows) and the variables (columns) as pointsAnalisis Korelasi KanonikCanonical Correlation Analysis (CCA) is a multivariate statistical method that identifies pairs of linear combinations — one from each of two variable sets — such that the correlatAnalisis KorespondensCorrespondence Analysis (CA) is an exploratory multivariate technique for visualizing the association structure of a two-way contingency table. Developed systematically by Jean-PauAnalisis DiskriminanDiscriminant 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 gAnalisis Diskriminan Linear (LDALinear Discriminant Analysis (LDA) is a parametric supervised classification method that finds the linear combination of continuous predictors that best separates two or more predeAnalisis Kovarians Multivariat (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
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This topic's most-referenced foundational methods, in the order they were developed — a place to start if you're new here.
Semua kaedah 15
Biplot: Paparan Serentak Baris dan Lajur dalam Data MultivariatAnalisis Korelasi KanonikAnalisis KorespondensAnalisis DiskriminanAnalisis Diskriminan Linear (LDAAnalisis Kovarians Multivariat (MANCOVA)Analisis Varians Multivariat (MANOVA)Penskalaan Pelbagai Dimensi (MDS)Analisis Korespondensi Berganda (MCA)Analisis Korelasi Kanonik Mantap (Robust CCA)Analisis Korespondens TeguhAnalisis Diskriminan TeguhMANOVA RobustPenskalaan Multi-Dimensi Mantap (Robust MDS)Analisis Korespondensi Berganda (MCA) Teguh (Robust MCA)