More Preformant Gower distance with modern Python tooling
Unsupervised learning analysis of a large depression dataset using mixed-data clustering, dimensionality reduction, and Bayesian Networks to explore socio-economic, lifestyle, and mental-health patterns.
Distances, nearest-neighbour search and clustering for mixed numeric/categorical tables. Exact Euclidean embedding of Gower distance; KAMILA and k-prototypes.
A Python project where I've grouped similar products in a real ecommerce dataset using some unsupervised learning techniques (clustering).
Gower Distance for MATLAB. This repository contains MATLAB implementation of Gower distance calculation for mixed numerical and categorical datasets.
Codebase and workflows for the weighted, multi-tier transferability assessment framework pipeline. Implements similarity scoring, gating mechanisms, and multi-scale indicator integration for evaluating the transfer of climate mitigation pathways across regions.
Functional diversity of an urban campus under construction (Las Peñas, ESPOL, Guayaquil). R pipeline computing FRic, FEve, FDiv, FDis, Rao's Q and functional redundancy on Gower distances with Cailliez-corrected PCoA, plus null models, taxonomic contrast and abundance-weighting sensitivity. Flora and fauna analysed separately by design.
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