Medoid Silhouette clustering with automatic cluster number selection

Author:

Lenssen LarsORCID,Schubert ErichORCID

Funder

Deutsche Forschungsgemeinschaft

Publisher

Elsevier BV

Subject

Hardware and Architecture,Information Systems,Software

Reference29 articles.

1. M. Ester, H.P. Kriegel, J. Sander, X. Xu, A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise, in: KDD’96, 1996, pp. 226–231.

2. DBSCAN revisited, revisited: Why and how you should (still) use DBSCAN;Schubert;ACM Trans. Database Syst.,2017

3. The relationship of DBSCAN to matrix factorization and spectral clustering;Schubert,2018

4. Connecting the dots – Density-connectivity distance unifies DBSCAN, k-center and spectral clustering;Beer,2023

5. Silhouettes: A graphical aid to the interpretation and validation of cluster analysis;Rousseeuw;J. Comput. Appl. Math.,1987

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