Statistical Machine Intelligence & Learning Engine

Introduction to manifold learning - mathematical theory and applied python examples (Multidimensional Scaling, Isomap, Locally Linear Embedding, Spectral Embedding/Laplacian Eigenmaps)

Implemented ML algorithms in hyperbolic geometry (MDS, K-Means, Support vector machines, etc.)

Module for Niek Veldhius, Sumerian Text Analysis.

Analysis of Data Scientist Job Descriptions using Natural Language Processing

Unsupervised Learning

Using R & VoteView mutlidimensional scaling (MDS) methods for the analysis & visualization of complex patterns of crosslinguistic variation.

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"

This routine is implemented in Matlab

Extendible metric MDS in Python

Framework to manage, prepare, train and evaluate models

Neighbourhood-preserving dimension reduction via localised multidimensional scaling

App for fast NMDS plots

Indoor Localization using UWB | Anchor Self-Calibrating Schemes

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

Multidimensional Scaling

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

Experiments in NLOS mitigitation under MDS-based RF Positioning

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

Dan McLinden

Multidimensional Scaling using Cliques (MDS-Clique)

Explore spaces of phylogenetic trees

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

Partial Order Scalogram Analysis with Base Co-ordinates

Quadratic Programming with Complementarity Constraints

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.