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

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

An R package for cluster validation.

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

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".