normalized-mutual-info

This clustering based anomaly detection project implements unsupervised clustering algorithms on the NSL-KDD and IDS 2017 datasets

Clustering Algorithms and their Application to Facial Image Analysis

Python information theory computation

A comparative study of K-centroid clustering algorithms, including KMeans, CustomKMeans, Fermat-Weber KMedians, and Weiszfeld KMedians, highlighting their performance on separated and non-separated datasets.

Uses custom graph-based algorithms (Python NetworkX) to identify recurring, missed, and late payments from consumer bank statements. Developed for Masters practicum thesis.

UW 2023S FDA

Bioinformatics project