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mhahsler
dbscan:Density-Based Spatial Clustering of Applications with Noise (DBSCAN) and Related Algorithms
A fast reimplementation of several density-based algorithms of the DBSCAN family. Includes the clustering algorithms DBSCAN (density-based spatial clustering of applications with noise) and HDBSCAN (hierarchical DBSCAN), the ordering algorithm OPTICS (ordering points to identify the clustering structure), shared nearest neighbor clustering, and the outlier detection algorithms LOF (local outlier factor) and GLOSH (global-local outlier score from hierarchies). The implementations use 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. Hahsler, Piekenbrock and Doran (2019) <doi:10.18637/jss.v091.i01>.
Maintained by Michael Hahsler. Last updated 2 months ago.
clusteringdbscandensity-based-clusteringhdbscanlofopticscpp
324 stars 15.60 score 1.6k scripts 85 dependents
dmurdoch
plotrix:Various Plotting Functions
Lots of plots, various labeling, axis and color scaling functions. The author/maintainer died in September 2023.
Maintained by Duncan Murdoch. Last updated 1 years ago.
5 stars 11.31 score 9.2k scripts 361 dependents
asl
Rssa:A Collection of Methods for Singular Spectrum Analysis
Methods and tools for Singular Spectrum Analysis including decomposition, forecasting and gap-filling for univariate and multivariate time series. General description of the methods with many examples can be found in the book Golyandina (2018, <doi:10.1007/978-3-662-57380-8>). See 'citation("Rssa")' for details.
Maintained by Anton Korobeynikov. Last updated 7 months ago.
58 stars 7.10 score 182 scripts 4 dependents