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

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.

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

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

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

Trabalho Conclusão de Curso - Classificador de Anomalias

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

面向沪深 A 股与场内 ETF／LOF 的本地投资研究工作台，集成独立数据源管理、可复核金融指标、持仓记录与证据驱动 AI 研究。基于 React、FastAPI 与 SQLite 构建。

Iranian telecom churn: K-Means, LOF, and a depth-5 decision tree. Saved test accuracy 91.4%, churn recall 64.6%. Dataset not included.

♨️ 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。

ETF / LOF 实时溢价率排行网站，FastAPI + AkShare + Docker，支持自动刷新和手动刷新。