discriminant-analysis

There are 1 repository under discriminant-analysis topic.

Wei2624 / AI_Learning_Hub
AI Learning Hub for Machine Learning, Deep Learning, Computer Vision and Statistics
machine-learning machine-learning-algorithms deep-learning deep-neural-networks statistics svm-classifier discriminant-analysis generative-model expectation-maximization-algorithm variational-inference learningnotes learning-theory regularization perceptron-learning-algorithm k-means-clustering gaussian-mixture-models
Language:HTML 56
sarahromanes / multiDA
High Dimensional Discriminant Analysis in R :sparkles:
r rstats machine-learning discriminant-analysis classification r-package rpackage
Language:R 11
DiscriminantAnalysis.jl
trthatcher / DiscriminantAnalysis.jl
Regularized discriminant analysis in Julia.
julia statistics discriminant-analysis
Language:Julia 9
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.
jamovi k-means-clustering pca-analysis-plot hierarchical-clustering discriminant-analysis multiple-factor-analysis correspondence-analysis multidimensional-scaling classification-analysis decision-tree machine-learning univariate-timeseries prophet-analysis clustering-dendrogram multiple-correspondence-analysis roc
Language:R 8
LLNL / fpp
Function preserving projection (FPP), a linear projection technique for capturing interpretable patterns of high-dimensional functions
high-dimensional-data data-viz projection dimensionality-reduction visualization discriminant-analysis supervised-dimensionality-reduction
Language:Jupyter Notebook 7
ozlemkorpe / Machine-Learning-with-MATLAB
Machine Learning and Data Mining cheatsheet and example operations prepared in MATLAB
matlab machine-learning decision-trees discriminant-analysis ensemble knearest-neighbor-algorithm kfold-cross-validation naive-bayes support-vector-machines
Language:MATLAB 7
sarahromanes / genDA
Multi-distributional Discriminant Analysis using Generalised Linear Latent Variable Modelling in R :star:
statistics r machine-learning discriminant-analysis
Language:R 6
bghojogh / Roweis-Discriminant-Analysis
The code for Roweis Discriminant Analysis (RDA) and Kernel RDA methods
roweis-discriminant-analysis principal-component-analysis kernel-rda kernel-eigenfaces eigenfaces fisherfaces supervised-pca fisher-discriminant-analysis discriminant-analysis
Language:Python 4
efsiatras / breast-cancer-classification-evaluation
Breast cancer classification and evaluation of classifiers using k-fold cross-validation
breast-cancer-wisconsin breast-cancer-classification classification evaluation matlab discriminant-analysis knn-classifier naive-bayes-classifier svm-classifier decision-tree-classifier kfold-cross-validation
Language:MATLAB 3
A-high-discrimination-motif-scanner
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.
scanner dna-motif dna background position-weight-matrix motif motif-finding discrimination discriminant-analysis training js javascript
Language:HTML 3
gastonstat / DiscriMiner
R package DiscriMiner
classification data-analysis discriminant-analysis machine-learning r-package statistical-learning statistics
Language:R 3
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.
covariance-matrix regularization shrinkage regularized-discriminant-analysis discriminant-analysis elliptical-distribution high-dimensional-data
Language:Python 2
Koldim2001 / Emotion_classifier
Проведение бинарной и многоклассовой классификаций эмоций людей на фотографиях
emotion-recognition face-detection gabor-feature-extraction lda pca binary-classification discriminant-analysis multiclass-classification classic-machine-learning
Language:Jupyter Notebook 2
parthian-sterlet / sitega
The software package SiteGA for de novo motif search in ChIP-seq data
alternative-motif-model bioinformatics chip-seq discriminant-analysis genetic-algorithm long-range-dependences motif-discovery
Language:C++ 2
SBalas / Machine-Learning-Models
knn, Regression (LASSO, Ridge), Logistic, Principal component Analysis (PCA), Discriminant Analysis (LDA, QDA), Trees, Random Forest, Boosting
bagging boosting bootstrap discriminant-analysis knn-classification lasso-regression logistic-regression principal-component-analysis random-forest ridge-regression trees
Language:Jupyter Notebook 2
ali9653 / Data-S
Models in R
logistic-regression decision-trees discriminant-analysis linear-regression
Language:R 1
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.
machine-learning robust-statistics robust-estimation em-algorithm linear-discriminant-analysis fashion-mnist 20newsgroup classification discriminant-analysis quadratic-discriminant-analysis
Language:Python 1
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.
machine-learning classification em-algorithm discriminant-analysis robust-estimation robust-statistics
Language:Python 1
jcelaya775 / classification-model-selection
Classification, sampling, and model selection methods. Ch. 4-6 exercises (An Introduction to Statistical Learning: https://www.statlearning.com/)
classification cross-validation discriminant-analysis knn lasso-regression logistic-regression pca r
Language:R 1
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".
rcode prostate-cancer mpmri bayesian-models discriminant-analysis
Language:R 1
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.
add-in automated-analysis discriminant-analysis jmp melanoma-determination melanoma-recognition skin-cancer statistical-analysis statistical-data statistical-modeling
1
leminhtr / SY09
Data Mining & Data Analysis coursework - UTC - SY09 - Spring 2017
data-science data-analysis data-mining data-visualization pca kmeans cmds lda discriminant-analysis bayes-classifier linear-regression logistic-regression decision-trees knn-classification mda
Language:PostScript 1
PamelaPairo / maestria_DM
Materiales de las clases prácticas de AID y Aprendizaje Automático
python r xaringan-presentation discriminant-analysis hypothesis-testing machine-learning pca
Language:HTML 1
purvilmehta06 / Machin-Learning
This repository contains the lab work of the course Machine Learning (IE 406).
machine-learning machine-learning-algorithms python jupyter-notebook gredient-decent stochastic-gradient-descent mse linear-regression logarithmic-regression discriminant-analysis cost-function maximum-likelihood-estimation binary-classification multiclass-classification pca-analysis face-recognition
Language:Jupyter Notebook 1
sajjadkarimi91 / SLDR-supervised-linear-dimensionality-reduction-toolbox
A MATLAB toolbox for supervised linear dimension reduction (SLDR) including LDA, HLDA, PLSDA, MMDA, HMMDA and SDA
linear-dimension-reduction max-min-distance-analysis lda linear-discriminant-analysis heteroscedastic-lda dimension-reduction matlab matlab-toolbox heteroscedastic-max-min-distance heteroscedastic-mmda dimensionality-reduction dimensionality-reduction-algorithm discriminant-analysis partial-least-squares plsda stochastic-discriminant-analysis
Language:MATLAB 1
seunggihong / ML-Sklearn
Simple machine learning model using scikit-learn
adaboost bagging classfication decision-tree discriminant-analysis gaussian-naive-bayes gridsearchcv knn machine-learning multinomial-naive-bayes random-forest regression scikit-learn svm voting
Language:Python 1
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
statistical-analysis eda exploratory-data-analysis normalization breast-cancer-wisconsin breast-cancer-prediction machine-learning classification-algorithims logistic-regression lda qda-a435 discriminant-analysis lasso-regression knn-classifier ridge-regression
Language:Jupyter Notebook 1
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.
discriminant-analysis kernel-principle-components dapc kernel-local population-structure-inference ecological kernel principal-components
Language:R 1
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.
neural-networks neuralnet r-programming support-vector-machines discriminant-analysis naive-bayes random-forest regression-trees lasso-regression classification
Language:R 0
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).
classification discriminant-analysis support-vector-machines naive-bayes-classifier r-programming
Language:R 0
DericAugusto / ISN2022_DataAnalysis
Material from the course of Data Analysis at ENSEM - Université de Lorraine.
discriminant-analysis principal-component-analysis support-vector-machine
Language:MATLAB 0
farincyntiya / multivariate-data-analysis
Multivariate data analysis using R Studio.
canonical-correlation-analysis cluster-analysis correspondence-analysis discriminant-analysis factor-analysis multidimensional-scaling multivariate-analysis principal-component-analysis r-studio
Language:R 0
JeremyIdogun / Supervised-Learning
Using labelled classifed data to infer a learning algorithm in R
decision-tree discriminant-analysis knn-algorithm logistics-regression
Language:R 0
selbouhaddani / POPLSDA
Probabilistic OPLS discriminant analysis
data-integration discriminant-analysis omics popls-da
Language:R 0
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.
discriminant-analysis k-means-clustering pre-processing
Language:Jupyter Notebook 0
raysas / data-mining-gene-expression
Data Mining project (Fall2023) involving the classification and clustering of Sars-Cov-2 gene expression RNA-seq data
bioconductor-package decision-trees dimensionality-reduction discriminant-analysis feature-selection gene-expression hierarchical-clustering k-fold-cross-validation k-means-clustering logistic-regression loocv normalization pca random-forest
Language:R

discriminant-analysis

Wei2624 / AI_Learning_Hub

sarahromanes / multiDA

trthatcher / DiscriminantAnalysis.jl

hyunsooseol / snowCluster

LLNL / fpp

ozlemkorpe / Machine-Learning-with-MATLAB

sarahromanes / genDA

bghojogh / Roweis-Discriminant-Analysis

efsiatras / breast-cancer-classification-evaluation

Gagniuc / A-high-discrimination-motif-scanner

gastonstat / DiscriMiner

EliasRaninen / CoupledRSCM

Koldim2001 / Emotion_classifier

parthian-sterlet / sitega

SBalas / Machine-Learning-Models

ali9653 / Data-S

Andrewwango / femda

HoudouinPierre / FEMDA

jcelaya775 / classification-model-selection

Jin93 / PCa-mpMRI

juliagong / skin-lesion-analyzer

leminhtr / SY09

PamelaPairo / maestria_DM

purvilmehta06 / Machin-Learning

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

seunggihong / ML-Sklearn

srinidhi14vaddy / Breast-Cancer-Wisconsin-Anomaly-Diagnosis

xinghuq / DA

Arek-KesizAbnousi / Neural_Networks

Arek-KesizAbnousi / Support_Vector_Machines-vs-Discriminant_Analysis

DericAugusto / ISN2022_DataAnalysis

farincyntiya / multivariate-data-analysis

JeremyIdogun / Supervised-Learning

selbouhaddani / POPLSDA

shreyasngredd / Customer-Segmentation

raysas / data-mining-gene-expression