dbscan 1.1-5 (2019-10-22)

New Features

kNN and frNN gained parameter query to query neighbors for points not in the data.
sNN gained parameter jp to decide if the shared NN should be counted using the definition by Jarvis and Patrick.

kNNdist gained parameter all to indicate if a matrix with the distance to all nearest neighbors up to k should be returned.

kNNdist now correctly returns the distances to the kth neighbor (reported by zschuster).
dbscan: check eps and minPts parameters to avoid undefined results (reported by ArthurPERE).

Example now only uses igraph conditionally since it is unavailable on Solaris (reported by B. Ripley).

Fixed problem with constant name on Solaris in ANN code (reported by B. Ripley).

HDBSCAN was added.
extractFOSC (optimal selection of clusters for HDBSCAN) was added.
GLOSH outlier score was added.
hullplot uses now filled polygons as the default.
hullplot now used PCA if the data has more than 2 dimensions.
Added NN superclass for kNN and frNN with plot and with adjacencylist().
Added shared nearest neighbor clustering as sNNclust() and sNN to calculate the number of shared nearest neighbors.
Added pointdensity function.
Unsorted kNN and frNN can now be sorted using sort().
kNN and frNN now also accept kNN and frNN objects, respectively. This can be used to create a new kNN (frNN) with a reduced k or eps.
Datasets added: DS3 and moon.

Improved interface for dbscan() and optics(): … it now passed on to frNN.
OPTICS clustering extraction methods are now called extractDBSCAN and extractXi.
kNN and frNN are now objects with a print function.
dbscan now also accepts a frNN object as input.
jpclust and sNNclust now return a list instead of just the cluster assignments.

The package has now a vignette.
Jarvis-Patrick clustering is now available as jpclust().
Improved interface for dbscan() and optics(): … is now passed on to frNN.
OPTICS clustering extraction methods are now called extractDBSCAN and extractXi.
hullplot uses now filled polygons as the default.
hullplot now used PCA if the data has more than 2 dimensions.
kNN and frNN are now objects with a print function.
dbscan now also accepts a frNN object as input.

Added hullplot to plot a scatter plot with added convex cluster hulls.
OPTICS: added a predecessor correction step that is used by the ELKI implementation (Matt Piekenbrock).

OPTICSXi is now implemented (thanks to Matt Piekenbrock).
DBSCAN now also accepts MinPts (with a capital M) to be compatible with the fpc version.
DBSCAN objects are now also of class db scan_fast to avoid clashes with fpc.
DBSCAN and OPTICS have now predict functions.
Added test for unhandled NAs.
Fixed LOF for more than k duplicate points (reported by Samneet Singh).

OPTICS: fixed second bug reported by Di Pang
all methods now also accept dist objects and have a search method “dist” which precomputes distances.

added tests (testthat).
input data is now checked if it can safely be coerced into a numeric matrix (storage.mode double).
fixed self matches in kNN and frNN (now returns the first NN correctly).