Generalized factor model for ultrahigh dimensional mixed-type data
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Updated
Jan 17, 2026 - HTML
Generalized factor model for ultrahigh dimensional mixed-type data
This repo contains two dimensionality reduction techniques for feature extraction: PCA and LDA and additionally t-SNE, which is a nonlinear feature extraction technique that can be used for visualizing data
Generalized Factor Model with MATLAB version
data and R code to reproduce the analysis and plots presented in the manuscript: "Macrophenological dynamics from citizen science plant occurrence data"
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