Dan McLinden
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Updated
Mar 20, 2020 - HTML
Dan McLinden
Performing Multidimensional Scaling with Gradient Descent and Gauss-Newton in JavaScript
Neighbourhood-preserving dimension reduction via localised multidimensional scaling
Word-alignment models for Bible translations in 100+ historical and contemporary languages
Explore spaces of phylogenetic trees
Performing common visual data analytic tasks using Python and D3.js.
This repo contains project(s) from the Marketing Analytics course.
Applying data mining techniques to a set of documents to determine meaningful relationships between them.
Dimensionality reduction and data embedding via PCA, MDS, and Isomap.
Framework to manage, prepare, train and evaluate models
Application of Multivariate Statistics on customer’ habits features to obtain a Customer segmentation of a wholesale shop.
Product Positioning by Semantic Network Analysis and multidimensional scaling
Using R & VoteView mutlidimensional scaling (MDS) methods for the analysis & visualization of complex patterns of crosslinguistic variation.
A web application for experimenting with dimensionality reduction with human guidance.
Module for Niek Veldhius, Sumerian Text Analysis.
Showcasing Manifold Learning with ISOMAP, and compare the model to other transformations, such as PCA and MDS.
趨勢型資料偵測
Advanced Multivariate Statistics project
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