There are 3 repositories under multidimensional-scaling topic.
Introduction to Manifold Learning - Mathematical Theory and Applied Python Examples (Multidimensional Scaling, Isomap, Locally Linear Embedding, Spectral Embedding/Laplacian Eigenmaps)
Implemented Machine Learning Algorithms in Hyperbolic Geometry (MDS, K-Means, Support vector machines, etc.)
Analysis of Data Scientist Job Descriptions using Natural Language Processing
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.
Unsupervised Learning
Module for Niek Veldhius, Sumerian Text Analysis.
This routine is implemented in Matlab
Using R & VoteView mutlidimensional scaling (MDS) methods for the analysis & visualization of complex patterns of crosslinguistic variation.
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.
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"
The code for Multidimensional Scaling (MDS), Sammon Mapping, and Isomap.
Experiments in NLOS mitigitation under MDS-based RF Positioning
Multidimensional Scaling using Cliques (MDS-Clique)
A library for the Analysis of Molecular Dynamics Simulations of Self Assembling Peptides. Started during an internship at CNTE, Niguarda Hospital, Milan
Showcasing Manifold Learning with ISOMAP, and compare the model to other transformations, such as PCA and MDS.
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.
Framework to manage, prepare, train and evaluate models
Simplified 3D DIffusion Model Simulation for Organization of Programming Languages Fall 2022.
hmds: An R Package for Heuristic High and Multi Dimensional Scaling
Dimensionality reduction and data embedding via PCA, MDS, and Isomap.
Word-alignment models for Bible translations in 100+ historical and contemporary languages
Neighbourhood-preserving dimension reduction via localised multidimensional scaling
趨勢型資料偵測
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.
Multivariate data analysis using R Studio.
Using chaos game plots, dissimilarity matrices, and multidimensional scaling to observe distances between CRISPR genomic signatures.
Advanced Multivariate Statistics project
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).
A web application for experimenting with dimensionality reduction with human guidance.
EDA and classification predictions of airline satisfaction using R