AI Learning Hub for Machine Learning, Deep Learning, Computer Vision and Statistics

High Dimensional Discriminant Analysis in R ✨

Regularized discriminant analysis in Julia.

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.

Function preserving projection (FPP), a linear projection technique for capturing interpretable patterns of high-dimensional functions

Multi-distributional Discriminant Analysis using Generalised Linear Latent Variable Modelling in R ⭐

Проведение бинарной и многоклассовой классификаций эмоций людей на фотографиях

R package DiscriMiner

Breast cancer classification and evaluation of classifiers

Code for the paper E. Raninen and E. Ollila, “Coupled regularized sample covariance matrix estimator for multiple classes,” in IEEE Transactions on Signal Processing, vol. 69, pp. 5681–5692, 2021, doi: 10.1109/TSP.2021.3118546.

Code for performing LDA-style procedure for when data distributions follow the exponential family distribution.

The software package SiteGA for de novo motif search in ChIP-seq data

FEMDA: Robust classification with Flexible Discriminant Analysis in heterogeneous data. Flexible EM-Inspired Discriminant Analysis is a robust supervised classification algorithm that performs well in noisy and contaminated datasets.

Models in R

Data Mining & Data Analysis coursework - UTC - SY09 - Spring 2017

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 …

This repository contains the lab work of the course Machine Learning (IE 406).

Simple machine learning model using scikit-learn

[Built during technical internship at SAS Institute, May 2016 - Aug 2016] Created automated skin cancer detection software using image analysis, feature extraction, and statistical modeling that analyzes images of skin lesions to detect possibly cancerous growths. Presented research and algorithms at the international JMP Discovery Summit (also …