multidimensional-scaling
There are 4 repositories under multidimensional-scaling topic.
- Language:Java 5932
drewwilimitis / Manifold-Learning
Introduction to Manifold Learning - Mathematical Theory and Applied Python Examples (Multidimensional Scaling, Isomap, Locally Linear Embedding, Spectral Embedding/Laplacian Eigenmaps)
Language:Jupyter Notebook 202Implemented Machine Learning Algorithms in Hyperbolic Geometry (MDS, K-Means, Support vector machines, etc.)
Language:Jupyter Notebook 126- Language:Python 17
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.
jamovik-means-clusteringpca-analysis-plothierarchical-clusteringdiscriminant-analysismultiple-factor-analysiscorrespondence-analysismultidimensional-scalingclassification-analysisdecision-treemachine-learningunivariate-timeseriesprophet-analysisclustering-dendrogrammultiple-correspondence-analysisrocLanguage:R 8asai2019 / job-description-nlp
Analysis of Data Scientist Job Descriptions using Natural Language Processing
Language:HTML 7poudeldinesh / Multivariate-Analysis-World-Happiness-Report
Unsupervised Learning
Language:R 7ds-modules / CUNEIF-102A
Module for Niek Veldhius, Sumerian Text Analysis.
Language:Jupyter Notebook 6q145492675 / MDS-MultidimensionalScalingAlgorithm-matlab
This routine is implemented in Matlab
Language:MATLAB 6- Language:R 5
yashajoshi / Cryptocurrency-Trading-Data-Analysis
Analyzing the historical cryptocurrency trading dataset, to portrait its dynamic landscape and dig into features of crypt currencies to figure out if any patterns in their price movement.
Language:Jupyter Notebook 5ankitbit / Multivariate_Analysis
This repository contains materials associated to the course "Multivariate Analysis" taught at the Faculty of Mathematics and Statistics (FME), UPC under the MESIO-UPC-UB Interuniversity Program under the instructors "Ferran Revertar", "Miguel Salicru" and "Jan Graffelman"
Language:HTML 4jaytimm / mds-for-linguists
Using R & VoteView mutlidimensional scaling (MDS) methods for the analysis & visualization of complex patterns of crosslinguistic variation.
bghojogh / MDS-SammonMapping-Isomap
The code for Multidimensional Scaling (MDS), Sammon Mapping, and Isomap.
Language:Python 3- Language:Python 3
lab-robotics-unipv / MDS-NLOS-mitigation
Experiments in NLOS mitigitation under MDS-based RF Positioning
Language:Python 3adisa4sure / Multidimensional_Scaling-Collective_Project-
Collective Project is one of our required courses for master degree in Mathematics which comprises of 5 members each. In this our group, we are working on Multidimensional Scaling: Multidimensional Scaling is a set of procedures that allows the researcher to map distances between objects in a multidimensional space into a lower-dimensional space in order to show how the objects are related.
Language:Jupyter Notebook 2hateno / mds-clique
Multidimensional Scaling using Cliques (MDS-Clique)
Language:Python 2lillux / morphoscanner
A library for the Analysis of Molecular Dynamics Simulations of Self Assembling Peptides. Started during an internship at CNTE, Niguarda Hospital, Milan
Language:Jupyter Notebook 2majdjamal / manifold_learning
Showcasing Manifold Learning with ISOMAP, and compare the model to other transformations, such as PCA and MDS.
Language:Python 2bjoern-hempel / pytorch-classification
Framework to manage, prepare, train and evaluate models
Language:Python 1- Language:Jupyter Notebook 1
ervinp2002 / diffusion-model
Simplified 3D DIffusion Model Simulation for Organization of Programming Languages Fall 2022.
Language:C++ 1jirotubuyaki / hmds
hmds: An R Package for Heuristic High and Multi Dimensional Scaling
Language:R 1- pca-mds-isomap
mark-antal-csizmadia / pca-mds-isomap
Dimensionality reduction and data embedding via PCA, MDS, and Isomap.
Language:Jupyter Notebook 1 npedrazzini / parallelbibles
Word-alignment models for Bible translations in 100+ historical and contemporary languages
Language:R 1PanShi2016 / LMB
Neighbourhood-preserving dimension reduction via localised multidimensional scaling
Language:Matlab 1YenLinWu / Trend_Detection
趨勢型資料偵測
Language:Jupyter Notebook 1alyxmcn / mds_pokemon
In this project, I conduct MDS to analyze the similarity between Pokemon based on their base stats (also known as species strengths). Applying MDS, it is possible to plot Pokemon in a lower-dimensional space based on their species strengths: HP, attack, defense, special attack, special defense and speed. R programming language is used.
Language:HTML 0CR1337 / human-guided-dimension-reduction
A web application for experimenting with dimensionality reduction with human guidance.
Language:Python 0farincyntiya / multivariate-data-analysis
Multivariate data analysis using R Studio.
Language:R 0- Language:R 0
JayTurnsek / CRISPR_Chaos_Classification
Using chaos game plots, dissimilarity matrices, and multidimensional scaling to observe distances between CRISPR genomic signatures.
Language:Python 0mmartamagna / OECD-Regional-Well-being-dataset
Advanced Multivariate Statistics project
Language:R 0tanyakuznetsova / Multidimensional-Scaling-of-European_Cities
This project explores the spatial relationships between twenty European cities using classical manual Multidimensional Scaling (MDS), MDS from scikit-learn, and compares the results with Principal Component Analysis (PCA).
Language:Jupyter Notebook 0dieu-nguyen24 / UKAirline-Predictions
EDA and classification predictions of airline satisfaction using R
Language:R
