Code for our IEEE TPAMI 2024 paper "Simplex Clustering via sBeta With Applications to Online Adjustment of Black-Box Predictions" - Python implementation of clustering algorithms applied on the probability simplex domain (e.g. clustering of softmax predictions from Black-Box source models).

Clustering algorithms implementation

Implementations of decision trees, decision stumps, data visualization and k-nearest neighbours algorithms

An Efficient and Randomized Clustering Algorithm that utilizes Randomized Algorithms on K-Medians

An in-depth exploration of clustering algorithms and techniques in machine learning, with applications focus on Object Tracking and Image Segmentation.

Algorithms related to clustering such as k-Medians, DBSCAN as well as vector quantization.

This repository is a comprehensive archive of projects and assignments undertaken for the Pattern Recognition course (TIP8311) at the Federal University of Ceará as part of my Master's curriculum.

Comparing different clustering algorithms

Testing the effectiveness of Approximate k-NN search with LSH and Hypercube on MNIST. Also, implemented k-medians++ for the same dataset.

Analytical and computational exploration of clustering algorithms, focusing on k-means and k-medians, with MATLAB implementations and synthetic dataset analyses.