Channel Charting Website

My personal implementation of several unsupervised learning algorithms.

Functional Data Analysis Python package

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

Exploring Cybersecurity Data Science: Dimensionality Reduction and Cluster Analysis

Interactive quality analysis for two-dimensional embeddings

UMAP testing

📊VIDAR: Visualization Interface for Data Analytics and Reduction

TorchDR - PyTorch Dimensionality Reduction

FeatureMAP (Feature-preserving Manifold Approximation and Projection) is an interpratable dimensionality reduction tool.

This Human Activity Recogisition analyses human activity patterns using smartphone sensor data from the UCI Human Activity Recognition dataset. It involves outlier detection, correlation analysis, and structural graph analysis. DBSCAN clustering is applied, followed by LDA for dimensionality reduction, to visualise and interpret activity clusters

Mutual Information-based Non-linear Clustering Analysis

Predict the type of flower based on standard Iris dataset and deal with Image data (pixels) to predict hand-written digits (0-9) using K-Means Clustering Algorithm.

Wavelet Scattering Transform applied for Geo Sciences.

Unsupervised ML exercises and projects done at alx training

IU Projects

Uniform Manifold Approximation and Projection

Compressed belief-state MDPs in Julia compatible with POMDPs.jl

A Python library for the fast symbolic approximation of time series