Topic: discriminant-analysis Goto Github
Some thing interesting about discriminant-analysis
Some thing interesting about discriminant-analysis
discriminant-analysis,Models in R
User: ali9653
discriminant-analysis,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.
User: amaugomez
discriminant-analysis,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.
User: andrewwango
discriminant-analysis, 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.
User: arek-kesizabnousi
discriminant-analysis, Comparing Classification Methods. We will code some Discriminant Analysis Methods and compare them to Support Vector Machines (SVMs).
User: arek-kesizabnousi
discriminant-analysis,The code for Quantized Fisher Discriminant Analysis (QFDA)
User: bghojogh
Home Page: https://arxiv.org/abs/1909.03037
discriminant-analysis,The code for Roweis Discriminant Analysis (RDA) and Kernel RDA methods
User: bghojogh
Home Page: https://link.springer.com/chapter/10.1007/978-3-030-50347-5_29
discriminant-analysis,The code for Roweisposes method for 3D action recognition
User: bghojogh
Home Page: https://arxiv.org/abs/2006.15736
discriminant-analysis,The code for Weighted Fisher Discriminant Analysis (WFDA) and Kernel WFDA
User: bghojogh
discriminant-analysis,Análisis Multivariado I
User: daczarne
discriminant-analysis,Breast cancer classification and evaluation of classifiers using k-fold cross-validation
User: efsiatras
discriminant-analysis,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.
User: eliasraninen
discriminant-analysis,MDS-FIB Multivariate-Analysis (MVA) subject 2024-25 Q1
User: ezwalt
discriminant-analysis,Build a GAN for the fashion industry
User: fadhili-ibra
discriminant-analysis,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.
User: gagniuc
discriminant-analysis,R package DiscriMiner
User: gastonstat
discriminant-analysis,Code developed for the Multivariate Statistics Spring 2019 course practice sessions.
User: gulsah-g
discriminant-analysis,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.
User: houdouinpierre
discriminant-analysis,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.
User: hyunsooseol
discriminant-analysis,Basic machine learning projects and algorithm implementation in Python3
User: invisiblenemo
discriminant-analysis,Classification, sampling, and model selection methods. Ch. 4-6 exercises (An Introduction to Statistical Learning: https://www.statlearning.com/)
User: jcelaya775
discriminant-analysis,Using labelled classifed data to infer a learning algorithm in R
User: jeremyidogun
discriminant-analysis,RDA implementation compatible with Scikit-learn API
User: jihoonerd
discriminant-analysis,This repository includes the code for the paper "Detection of Prostate Cancer with Multi-Parametric MRI Utilizing the Anatomic Structure of the Prostate".
User: jin93
discriminant-analysis,[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.
User: juliagong
discriminant-analysis,Проведение бинарной и многоклассовой классификаций эмоций людей на фотографиях
User: koldim2001
discriminant-analysis,Data Mining & Data Analysis coursework - UTC - SY09 - Spring 2017
User: leminhtr
discriminant-analysis,Function preserving projection (FPP), a linear projection technique for capturing interpretable patterns of high-dimensional functions
Organization: llnl
discriminant-analysis,Case Study Based on Human Activity Recognition Using Smartphones Dataset
User: luweihao
discriminant-analysis,Machine Learning and Data Mining cheatsheet and example operations prepared in MATLAB
User: ozlemkorpe
discriminant-analysis,Materiales de las clases prácticas de AID y Aprendizaje Automático
User: pamelapairo
discriminant-analysis,The software package SiteGA for de novo motif search in ChIP-seq data
User: parthian-sterlet
discriminant-analysis,This is analysis done to study the canine species based on the Skull measurements obtained for the different species of the canines. All kinds of multivariate analyses are done on this species.
User: preranavarsha770
discriminant-analysis,This repository contains the lab work of the course Machine Learning (IE 406).
User: purvilmehta06
discriminant-analysis,Data Mining project (Fall2023) involving the classification and clustering of Sars-Cov-2 gene expression RNA-seq data
User: raysas
discriminant-analysis,This repository contains R Markdown reports about multivariate data analysis including Principal component analysis, Factor analysis, Discriminant analysis, classification and clustering.
User: romanova-ej
discriminant-analysis,A MATLAB toolbox for supervised linear dimension reduction (SLDR) including LDA, HLDA, PLSDA, MMDA, HMMDA and SDA
User: sajjadkarimi91
discriminant-analysis,Multi-distributional Discriminant Analysis using Generalised Linear Latent Variable Modelling in R :star:
User: sarahromanes
discriminant-analysis,High Dimensional Discriminant Analysis in R :sparkles:
User: sarahromanes
Home Page: https://sarahromanes.github.io/multiDA/
discriminant-analysis,Linear Discriminant Analysis ~ a dimensionality reduction as well as a classification technique — with applications in document understanding
User: sayarghoshroy
discriminant-analysis,knn, Regression (LASSO, Ridge), Logistic, Principal component Analysis (PCA), Discriminant Analysis (LDA, QDA), Trees, Random Forest, Boosting
User: sbalas
discriminant-analysis,Probabilistic OPLS discriminant analysis
User: selbouhaddani
discriminant-analysis, Simple machine learning model using scikit-learn
User: seunggihong
discriminant-analysis,Code to predict energy output of solar panels by outside temperature and weather conditions.
User: shkev
discriminant-analysis,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
User: srinidhi14vaddy
discriminant-analysis,Regularized discriminant analysis in Julia.
User: trthatcher
discriminant-analysis,R code for linear discriminant analysis
User: watanabe-j
discriminant-analysis,AI Learning Hub for Machine Learning, Deep Learning, Computer Vision and Statistics
User: wei2624
discriminant-analysis, 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.
User: xinghuq
Home Page: https://xinghuq.github.io/DA/
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