High Dimensional Discriminant Analysis in R ✨
-
Updated
Jul 11, 2019 - R
High Dimensional Discriminant Analysis in R ✨
This module allows users to analyze k-means & hierarchical clustering, and visualize results of Principal Component, Correspondence Analysis, Discriminant analysis, Decision tree, Multidimensional scaling, Multiple Factor Analysis, Machine learning, and Prophet analysis.
Multi-distributional Discriminant Analysis using Generalised Linear Latent Variable Modelling in R ⭐
R package DiscriMiner
Models in R
This repository includes the code for the paper "Detection of Prostate Cancer with Multi-Parametric MRI Utilizing the Anatomic Structure of the Prostate".
DA incorporates the commonly used linear and non-linear, local and global supervised learning approaches (discriminant analysis). These discriminant analyses can be used to do ecological and evolutionary inference. We show the examples of demographic history inference, species identification, and population structure inference in the vignettes …
Classification, sampling, and model selection methods. Ch. 4-6 exercises (An Introduction to Statistical Learning: https://www.statlearning.com/)
Bankruptcy prediction - LDA, logit, NN
Comparing Classification Methods. We will code some Discriminant Analysis Methods and compare them to Support Vector Machines (SVMs).
Psychometric techniques, including functions to analyze dichotomous variables, and applied examples of factor analysis and discriminant analysis. Produced within the classes "Principles and Methods of Measurement" and "Public Opinion", both taught at the University of Chicago in the Spring of 2021.
Probabilistic OPLS discriminant analysis
Data Mining project (Fall2023) involving the classification and clustering of Sars-Cov-2 gene expression RNA-seq data
Multivariate data analysis using R Studio.
Using labelled classifed data to infer a learning algorithm in R
In our second semester in ISI, Delhi, we did this project titled "Multivariate Analysis on Milk Transportation Data". The aim of the project was to implement Multivariate Statistical tools to extract insights from Milk Transportation Data.
This repository documents my learning, work and 2 projects from the "Multivariate Analysis(多變量分析)" course at NCCU.
Add a description, image, and links to the discriminant-analysis topic page so that developers can more easily learn about it.
To associate your repository with the discriminant-analysis topic, visit your repo's landing page and select "manage topics."