Density-based spatial clustering of applications with noise (DBSCAN)

Kloudfuse provides DBSCAN implementation of Outlier Detection.

In DBSCAN, the tolerance level, or eps, determines the clustering radius of the neighborhood around each point. The eps controls the sensitivity of outlier detection. A lower tolerance detects more subtle outliers, while a higher tolerance detects only the most significant deviations.

For an in-depth discussion of the DBSCAN algorithm, see these external resources: