Machine Learning & Training

What Is DBSCAN?

DBSCAN, or density-based spatial clustering of applications with noise, groups together points that are closely packed in dense regions. Points in low-density areas are treated as noise or outliers. Unlike k-means, it does not require the number of clusters to be specified and can find clusters of arbitrary shape.

Further reading

Read more about DBSCAN — articles and blogs from around the web: