A JavaScript Library for Dimensionality Reduction

This code base is collection of codes that are freely available for google earth engine. This is the collection of tutorials prepared by multiple individuals that were shared publicly as documents for learning purposes. These documents has been converted to web pages and are made easy access to the normal users via web page.

This is a master project of some experiments with Neural Networks. Every project here is runnable, visualized and explained clearly.

A semi-automatic GEE tool to monitor burned area progression using Sentinel-1 SAR data. Attachment for the article in the IEEE JSTARS by Paluba D. et al. (2024): Tracking burned area progression in an unsupervised manner using Sentinel-1 SAR data in Google Earth Engine https://doi.org/10.1109/JSTARS.2024.3427382

UnsupervisedPapers.com is an open-source directory of papers on unsupervised machine learning and related topics with links to resources such as code, websites and videos.

This code repository is an attachment for the IGARSS 2023 proceeding paper: Paluba D. et al. (2023): "Unsupervised Burned Area Mapping in Greece: Investigating the impact of precipitation, pre- and post-processing of Sentinel-1 data in Google Earth Engine".

Resume Check with Machine Learning

IBM Generative AI Engineering Professional Certificate

Bot for my game Asteroids Harvesters

Simulation of DBSCAN Clustering algorithm using P5.JS

Web Visualizer for the K-means Clustering Unsupervised Learning algorithm

Interactive static web app for exploring k-means clustering and the Lloyd-Forgy algorithm in the browser.

an animated/interactive representation of self-organizing map (SOM)

A simple BI dashboard for unsupervised segmentation of the customers in an e-commerce based on transactions and suggest marketing solutions.

Tilder is a browser extension for Chrome that uses unsupervised NLP to summarize any open webpage that is primarily text-based, such as a news article, encyclopedia entry, or blog post.

Interactive cluster visualization

Hyper-Parameter Optimisation experiment as part of my undergraduate dissertation (2019)

🛒 Uncover customer insights through advanced retail segmentation using unsupervised learning techniques on transactional data.

ThoughtNet is a real-time network of thoughts designed to visualize and analyze clusters of ideas around user queries. Instead of keyword-based search, it focuses on semantic understanding, breaking queries into sub-thoughts, collecting perspectives from multiple sources, clustering them, and displaying them as an interactive graph.

Develop an automated corrosion loop development system based on k-means clustering and group technology method