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.

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babli18/MKT---Consumer-And-Brand-Research

Python Code for MKT - Consumer and Brand Research Course for Simon Business School

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parthian-sterlet/sitega

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

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PamelaPairo/maestria_DM

Materiales de las clases prácticas de AID y Aprendizaje Automático

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Koldim2001/Emotion_classifier

Проведение бинарной и многоклассовой классификаций эмоций людей на фотографиях

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Arek-KesizAbnousi/Neural_Networks

Fit four different neural networks: (a) Two distinct single hidden layer neural networks. (b) Two distinct neural networks with two hidden layers. Compare the accuracy of these four Neural networks among them. Also compare it to other classification methods.

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LLNL/fpp

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

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Thee-Unruly/Fashion-GAN

Build a GAN for the fashion industry

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eZWALT/MVA-MultiVariate-Analysis

MDS-FIB Multivariate-Analysis (MVA) subject 2024-25 Q1

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ozlemkorpe/Machine-Learning-with-MATLAB

Machine Learning and Data Mining cheatsheet and example operations prepared in MATLAB

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raysas/data-mining-gene-expression

Data Mining project (Fall2023) involving the classification and clustering of Sars-Cov-2 gene expression RNA-seq data

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seunggihong/ML-Sklearn

Simple machine learning model using scikit-learn

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InvisibleNemo/BasicML

Basic machine learning projects and algorithm implementation in Python3

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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.

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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.

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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.

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Gulsah-G/multivariate_stats

Code developed for the Multivariate Statistics Spring 2019 course practice sessions.

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Romanova-ej/Multivariate-data-analysis

This repository contains R Markdown reports about multivariate data analysis including Principal component analysis, Factor analysis, Discriminant analysis, classification and clustering.

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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.

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bghojogh/Roweis-Discriminant-Analysis

The code for Roweis Discriminant Analysis (RDA) and Kernel RDA methods

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Arek-KesizAbnousi/Support_Vector_Machines-vs-Discriminant_Analysis

Comparing Classification Methods. We will code some Discriminant Analysis Methods and compare them to Support Vector Machines (SVMs).

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DericAugusto/ISN2022_DataAnalysis

Material from the course of Data Analysis at ENSEM - Université de Lorraine.

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gholomia/Patterns

Statistical Pattern Recognition coursework and assignments under the supervision of Prof. Mohamad Rahmati.

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selbouhaddani/POPLSDA

Probabilistic OPLS discriminant analysis

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leminhtr/SY09

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

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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.

Language: Python - Size: 138 KB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

sajjadkarimi91/SLDR-supervised-linear-dimensionality-reduction-toolbox

A MATLAB toolbox for supervised linear dimension reduction (SLDR) including LDA, HLDA, PLSDA, MMDA, HMMDA and SDA

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efsiatras/breast-cancer-classification-evaluation

Breast cancer classification and evaluation of classifiers using k-fold Cross-Validation

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bhavyanarang/SML_Coding_Assignments

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jcelaya775/classification

Classification and sampling Ch. 4-5 exercises (An Introduction to Statistical Learning: https://www.statlearning.com/)

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Wei2624/AI_Learning_Hub

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

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daczarne/udelar_analisis_multivariado_1 📦

Análisis Multivariado I

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watanabe-j/LDA

R code for linear discriminant analysis

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gastonstat/DiscriMiner

R package DiscriMiner

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sayarghoshroy/LDA-Demonstration

Linear Discriminant Analysis ~ a dimensionality reduction as well as a classification technique — with applications in document understanding

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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".

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trthatcher/DiscriminantAnalysis.jl

Regularized discriminant analysis in Julia.

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jihoonerd/restricted-discriminant-analysis

RDA implementation compatible with Scikit-learn API

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purvilmehta06/Machin-Learning

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

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bghojogh/Quantized-Fisher-Discriminant-Analysis

The code for Quantized Fisher Discriminant Analysis (QFDA)

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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.

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Shkev/SolarPanelML

Code to predict energy output of solar panels by outside temperature and weather conditions.

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bghojogh/Weighted-Fisher-Discriminant-Analysis

The code for Weighted Fisher Discriminant Analysis (WFDA) and Kernel WFDA

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bghojogh/Roweisposes

The code for Roweisposes method for 3D action recognition

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sarahromanes/genDA

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

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ali9653/Data-S

Models in R

Language: R - Size: 492 KB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 0

sarahromanes/multiDA

High Dimensional Discriminant Analysis in R :sparkles:

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timothy-tsang/SYDE372-Lab2

SYDE 372 - Lab 2

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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.

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