Density Based Clustering of Applications with Noise (DBSCAN) and Related Algorithms - R package

UnSupervised and Semi-Supervise Anomaly Detection / IsolationForest / KernelPCA Detection / ADOA / etc.

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

In this repo, different techniques will be done to analyze Anomaly detection

Recognition of anomalies in the data stream in real time. Identify peaks. Fraud detection.

Local Outlier Factor (LOF), a density-based outlier detection technique to find frauds in credit card transactions.

Deriving the Local Outlier Factor Score

Laws of Form - Complete Corpus of Definitions - To use in LLMs - ChatGPT 4o - Claude

♨️ An outlier detection service applied to time series.

Built a model to detect fraudulent credit card transactions so that the customers of credit card companies are not charged for items that they did not purchase.

To detect Credit Card Fraud by using SVR, Isolation Forest and Local Outlier Factor.

Laws of Form Web Simulator - Entropy vs Assembly

Free Online Truth Table for Laws of Form Expressions - React App - George Spencer Brown