Multivarijacione metode
15 metoda u ovoj porodici.
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Biplot: Istovremeni prikaz redova i kolona u multivarijantnim podacimaA biplot is a low-dimensional graphical representation of a multivariate data matrix that simultaneously displays both the observations (rows) and the variables (columns) as pointsKanonička korelaciona analizaCanonical Correlation Analysis (CCA) is a multivariate statistical method that identifies pairs of linear combinations — one from each of two variable sets — such that the correlatAnaliza korespondencijeCorrespondence Analysis (CA) is an exploratory multivariate technique for visualizing the association structure of a two-way contingency table. Developed systematically by Jean-PauDiskriminativna analizaDiscriminant 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 gLinearna diskriminaciona analiza (LDALinear Discriminant Analysis (LDA) is a parametric supervised classification method that finds the linear combination of continuous predictors that best separates two or more predeMultivariate Analysis of Covariance (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.
Sve metode 15
Biplot: Istovremeni prikaz redova i kolona u multivarijantnim podacimaKanonička korelaciona analizaAnaliza korespondencijeDiskriminativna analizaLinearna diskriminaciona analiza (LDAMultivariate Analysis of Covariance (MANCOVA)Višestruka analiza kovarijanse (MANOVA)Multidimensional Scaling (MDS)Analiza višestrukih korespondencija (MCA)Робусна канонска корелациона анализа (Robust CCA)Robusna analiza korespondencijeРобусна дискриминантна анализаRobust MANOVARobusna multidimenzionalna skala (Robust MDS)Robusna višestruka korespondentna analiza (Robust MCA)