discriminant-analysis
There are 57 repositories under discriminant-analysis topic.
Wei2624/AI_Learning_Hub
AI Learning Hub for Machine Learning, Deep Learning, Computer Vision and Statistics
sarahromanes/multiDA
High Dimensional Discriminant Analysis in R :sparkles:
trthatcher/DiscriminantAnalysis.jl
Regularized discriminant analysis in Julia.
hyunsooseol/snowCluster
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.
LLNL/fpp
Function preserving projection (FPP), a linear projection technique for capturing interpretable patterns of high-dimensional functions
ozlemkorpe/Machine-Learning-with-MATLAB
Machine Learning and Data Mining cheatsheet and example operations prepared in MATLAB
sarahromanes/genDA
Multi-distributional Discriminant Analysis using Generalised Linear Latent Variable Modelling in R :star:
bghojogh/Roweis-Discriminant-Analysis
The code for Roweis Discriminant Analysis (RDA) and Kernel RDA methods
efsiatras/breast-cancer-classification-evaluation
Breast cancer classification and evaluation of classifiers
EliasRaninen/CoupledRSCM
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.
Gagniuc/A-high-discrimination-motif-scanner
This is a scanner designed to recognise DNA motifs within a long stretch of DNA. It uses two models for discrimination, one model representing the target and the second model representing the background.
gastonstat/DiscriMiner
R package DiscriMiner
Koldim2001/Emotion_classifier
Проведение бинарной и многоклассовой классификаций эмоций людей на фотографиях
HoudouinPierre/FEMDA
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.
parthian-sterlet/sitega
The software package SiteGA for de novo motif search in ChIP-seq data
SBalas/Machine-Learning-Models
knn, Regression (LASSO, Ridge), Logistic, Principal component Analysis (PCA), Discriminant Analysis (LDA, QDA), Trees, Random Forest, Boosting
ali9653/Data-S
Models in R
Andrewwango/femda
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.
jcelaya775/classification-model-selection
Classification, sampling, and model selection methods. Ch. 4-6 exercises (An Introduction to Statistical Learning: https://www.statlearning.com/)
Jin93/PCa-mpMRI
This repository includes the code for the paper "Detection of Prostate Cancer with Multi-Parametric MRI Utilizing the Anatomic Structure of the Prostate".
juliagong/skin-lesion-analyzer
[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 selected as Best Student Poster), to the Women in Data Science Meetup, at the JMP Developers' Meeting, and at the SAS Intern Expo.
leminhtr/SY09
Data Mining & Data Analysis coursework - UTC - SY09 - Spring 2017
PamelaPairo/maestria_DM
Materiales de las clases prácticas de AID y Aprendizaje Automático
purvilmehta06/Machin-Learning
This repository contains the lab work of the course Machine Learning (IE 406).
sajjadkarimi91/SLDR-supervised-linear-dimensionality-reduction-toolbox
A MATLAB toolbox for supervised linear dimension reduction (SLDR) including LDA, HLDA, PLSDA, MMDA, HMMDA and SDA
seunggihong/ML-Sklearn
Simple machine learning model using scikit-learn
srinidhi14vaddy/Breast-Cancer-Wisconsin-Anomaly-Diagnosis
Performed statistical-EDA and normalization analysis on digitized mass images with 10 nuclei features (radius, texture) Predicted malignant - benign cancer using Logistic, LDA-QDA, KNN, Lasso-Ridge classifiers with 0.89, 0.88, 0.92, 0.96 and 0.97 accuracies respectively along with decision boundaries and ROC curves
xinghuq/DA
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 using the supervised discriminant analysis.
AMauGomez/Analisis-de-Acciones-SP500-mediante-el-an-lisis-de-discriminante
Se realiza un Análisis de Discriminate a la base de datos SP500 que contiene el porcentaje de retorno de este índice, se realiza un modelo de predicción sobre el porcentaje de retorno.
DericAugusto/ISN2022_DataAnalysis
Material from the course of Data Analysis at ENSEM - Université de Lorraine.
JeremyIdogun/Supervised-Learning
Using labelled classifed data to infer a learning algorithm in R
raysas/data-mining-gene-expression
Data Mining project (Fall2023) involving the classification and clustering of Sars-Cov-2 gene expression RNA-seq data
selbouhaddani/POPLSDA
Probabilistic OPLS discriminant analysis
shreyasngredd/Customer-Segmentation
Distinguishing and finding similarities between different customer groups using Cluster Analysis and Discriminant Analysis for a hypothetical company based on a credit card dataset.
eZWALT/Multivariate-Analysis
MDS-FIB Multivariate-Analysis (MVA) subject 2024-25 Q1
Fadhili-Ibra/Fashion-GAN
Build a GAN for the fashion industry