- pointdensity was double counting the query point (reported by Marius Hofert).
- OPTICS now calculates eps if it is omitted.
- 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).
- Fixed a memory problem in frNN (reported by Yilei He).
- 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.
- OPTICS: fixed bug with first observation reported by Di Pang
- OPTICS: clusterings can now be extracted using optics_cut
- 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).
- Added weights to DBSCAN.
- Added kNN interface.
- Added frNN (fixed radius NN) interface.
- Added LOF.
- Added OPTICS.
- All algorithms check now for interrupt (CTRL-C/Esc).
- DBSCAN now returns a list instead of a numeric vector.
- DBSCAN: Improved speed by avoiding repeated sorting of point ids.
- Added linear NN search option.
- Added fast calculation for kNN distance.
- fpc and microbenchmark are now used conditionally in the examples.
- initial release