# dbscan v0.9-3

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## Density Based Clustering of Applications with Noise (DBSCAN) and Related Algorithms

A fast reimplementation of several density-based algorithms of the DBSCAN family for spatial data. Includes the DBSCAN (density-based spatial clustering of applications with noise) and OPTICS (ordering points to identify the clustering structure) clustering algorithms and the LOF (local outlier factor) algorithm. The implementations uses the kd-tree data structure (from library ANN) for faster k-nearest neighbor search. An R interface to fast kNN and fixed-radius NN search is also provided.

## Functions in dbscan

 Name Description kNNdist Calculate and plot the k-Nearest Neighbor Distance frNN Find the Fixed Radius Nearest Neighbors optics OPTICS lof Local Outlier Factor Score kNN Find the k Nearest Neighbors dbscan DBSCAN No Results!