Explore spaces of phylogenetic trees

Applying data mining techniques to a set of documents to determine meaningful relationships between them.

hmds: An R Package for Heuristic High and Multi Dimensional Scaling

This routine is implemented in Matlab

Neighbourhood-preserving dimension reduction via localised multidimensional scaling

Experiments in NLOS mitigitation under MDS-based RF Positioning

Quadratic Programming with Complementarity Constraints

Module for Niek Veldhius, Sumerian Text Analysis.

Framework to manage, prepare, train and evaluate models

Partial Order Scalogram Analysis with Base Co-ordinates

Extendible metric MDS in Python

Analysis of Data Scientist Job Descriptions using Natural Language Processing

Unsupervised Learning

Introduction to Manifold Learning - Mathematical Theory and Applied Python Examples (Multidimensional Scaling, Isomap, Locally Linear Embedding, Spectral Embedding/Laplacian Eigenmaps)

Dan McLinden

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.

Implemented Machine Learning Algorithms in Hyperbolic Geometry (MDS, K-Means, Support vector machines, etc.)

Performing common visual data analytic tasks using Python and D3.js.

Performing Multidimensional Scaling with Gradient Descent and Gauss-Newton in JavaScript

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"