Samenvatting
DBSCAN is a popular approach for density-based clustering.
In this short ``work in progress'' paper, we want to present an interpretation of
DBSCAN as a matrix factorization problem, which introduces
a theoretical connection (but not an equivalence)
between DBSCAN and Spectral Clustering (SC).
While this does not yield a faster algorithm for DBSCAN,
establishing this relationship is a step towards a more unified
view of clustering, by identifying further relationships between
some of the most popular clustering algorithms.
In this short ``work in progress'' paper, we want to present an interpretation of
DBSCAN as a matrix factorization problem, which introduces
a theoretical connection (but not an equivalence)
between DBSCAN and Spectral Clustering (SC).
While this does not yield a faster algorithm for DBSCAN,
establishing this relationship is a step towards a more unified
view of clustering, by identifying further relationships between
some of the most popular clustering algorithms.
| Originele taal-2 | Engels |
|---|---|
| Titel | LWDA 2018 - Lernen, Wissen, Daten, Analysen 2018 |
| Subtitel | Proceedings of the conference "Lernen, Wissen, Daten Analysen |
| Plaats van productie | Aachen |
| Uitgeverij | RWTH Aachen |
| Pagina's | 330-334 |
| Aantal pagina's | 5 |
| Status | Gepubliceerd - 2018 |
| Extern gepubliceerd | Ja |
| Evenement | LWDA 2018 - Lernen, Wissen, Daten, Analysen 2018 - Mannheim, Duitsland Duur: 22 aug. 2018 → 24 aug. 2018 https://bibliographie.ub.rub.de/retrieve/Conference/7fee8151-004e-44e5-90fd-7e9023e167e7/ |
Publicatie series
| Naam | CEUR workshop proceedings |
|---|---|
| Volume | 2191 |
Congres
| Congres | LWDA 2018 - Lernen, Wissen, Daten, Analysen 2018 |
|---|---|
| Verkorte titel | LWDA2019 |
| Land/Regio | Duitsland |
| Stad | Mannheim |
| Periode | 22/08/18 → 24/08/18 |
| Internet adres |