FN-DBSCAN: Python Implementation of Fuzzy Neighborhood DBSCAN

Çeldir, ONUR

FN-DBSCAN: Python Implementation of Fuzzy Neighborhood DBSCAN

Technical Report, pp.1, 2025

Publication Type: Other Publication / Technical Report
Publication Date: 2025
Page Numbers: pp.1
Dokuz Eylül University Affiliated: Yes

Abstract

This software provides a comprehensive Python implementation of the Fuzzy Neighborhood DBSCAN (FN-DBSCAN) algorithm, originally proposed by Nasibov & Ulutagay (2009). Unlike traditional DBSCAN, which relies on binary neighborhood definitions, this implementation utilizes fuzzy cardinality to handle border points and noise more effectively. The library is fully compatible with the Scikit-learn ecosystem, supports various membership functions and includes built-in data normalization for scale invariance. DOI: https://zenodo.org/records/17726044 Source Code: https://github.com/onurceldir123/fn-dbscan