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Multivariate Statistics

Parent category Analysis
Description Multivariate analysis tools
Component Version Inputs Outputs Description
PCA 1.1 matrix loadings, scores, variation PCA performs a principal component analysis on a given data matrix based on eigen values.
QSNE 1.0 in, init out Fast nonlinear dimensionality reduction using a quadratic-convergence t-SNE algorithm.
TSNE 1.1 in out, entropy This component performs dimensionality reduction with an R wrapper of the C++ implementation of Barnes-Hut-SNE as described in http://lvdmaaten.github.io/tsne/.

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