A general purpose Snakemake workflow and MrBiomics module to perform unsupervised analyses (dimensionality reduction & cluster analysis) and visualizations of high-dimensional data.

Pepelka is a MATLAB toolbox for data clustering and visualization.

A python package which implements a distance-based extension of the adjusted Rand index for the supervised validation of 2 cluster analysis solutions

This folder contains code for the paper titled "Information maximization-based clustering of histopathology images using deep learning".

An R package for cluster validation.

Clustering algorithms, validations and interpretations with some robust statistic advanced topics. Real case applications. My R scripts to solve some university exams ;) - Work in progress

This repository contains the source code associated with the paper titled "Implementation of a conditional latent diffusion-based generative model to synthetically create unlabeled histopathological images".

A data-driven customer segmentation project using hierarchical (Ward.D2) and k-means clustering on retail survey data. The analysis applies z-score normalization, Euclidean distance and cluster validation (NbClust) to identify four distinct segments and translate insights into strategic targeting recommendations using the McKinsey GE Matrix.

This repository contains the code for the conference paper titled "Feature extraction and unsupervised clustering of histopathological images of pancreatic cancer using information maximization".