lof

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

套利工具箱 -- 专注于LOF、ETF溢价套利的浏览器扩展

LOF基金套利监控系统前端 - 实时追踪LOF基金溢价率，发现套利机会 | LOF Fund Arbitrage Monitor Frontend

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.

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

Anomaly Detection Projects – Hands-on Python portfolio exploring clustering, model-based, and statistical anomaly detection techniques with full workflow, evaluation, and visualization on real-world datasets.

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

Laws of Form Web Simulator - Entropy vs Assembly

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

Detects anomalies using the Local Outlier Factor (LOF) algorithm, with clear visualizations of normal data, highlighted outliers, and isolated anomaly points.

Customer churn classification pipeline — logistic regression, decision trees, ~78% accuracy

Trabalho Conclusão de Curso - Classificador de Anomalias

♨️ An outlier detection service applied to time series.

A project showcasing the use of machine learning in detecting and classifying electrical faults

面向手机和自部署服务器的基金工具箱：场外基金实时估值、基金对比、跨境 LOF/ETF 溢价套利提醒。

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.

Deriving the Local Outlier Factor Score