Martin Ester, Hans-Peter Kriegel, Jörg Sander, & Xiaowei Xu (1996), References, Textbook of AI

Martin Ester, Hans-Peter Kriegel, Jörg Sander, & Xiaowei Xu (1996)

Proceedings of KDD 1996, 226-231.

URL: https://cdn.aaai.org/KDD/1996/KDD96-037.pdf

Abstract. Introduces DBSCAN, a density-based clustering algorithm that discovers clusters of arbitrary shape, requires no pre-specified number of clusters, and automatically identifies noise points as outliers.

Tags: clustering density-based unsupervised url-only

Cited in:

Chapter 8: Unsupervised Learning

AI tools used: Claude (research, coding, text), ChatGPT (diagrams, images), Grammarly (editing).

A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise