This is a portfolio of major analytical projects that have been completed.

Multi-way Spectral Clustering

Spectral Clustering is a technique to cluster data which finds use in community detetction applications

TAU 0368-2161-07 Software Project course: An implementation of the Spectral Clustering algorithm

K-means, Spectral clustering, PCA, and Kernel PCA

Credit Card User Segmentation With Clustering Techniques: Project for Math 156 (Machine Learning) at UCLA, Fall 2023

Spectral Graph Clustering Notes

Projects for MSc course: Computational Intelligence and Statistical Learning

Digital Image Processing Assignment(Auth Spring Semester 2021)

Fast Large-Scale Spectral Clustering via Explicit Feature Mapping

This project involved clustering participants of the Iowa Gambling Task based on their decision model parameters

Implementação do Ultra Scalable Spectral Clustering em Python. Projeto da disciplina de Algébra Linear para Ciência de Dados na PUC

data link:https://www.openml.org/d/42111

Graph clustering project using Markov clustering algorithm, K-medoid algorithm, Spectral algorithm with GUI PyQt5

Detecting communities inside the coappearance network of characters in the novel Les Misérables.

C written program (with Python/C API utilization), which detects community structures in a network.

Clustering of different touristic attractions in Paris

This project incorporates Hierarchical document clustering of the Kaggle forum posts using data from Meta Kaggle. Includes fine-tuned vectors using GoogleNews embeddings.