Package: densityClust 0.3.3.9000

densityClust: Clustering by Fast Search and Find of Density Peaks

An improved implementation (based on k-nearest neighbors) of the density peak clustering algorithm, originally described by Alex Rodriguez and Alessandro Laio (Science, 2014 vol. 344). It can handle large datasets (> 100,000 samples) very efficiently. It was initially implemented by Thomas Lin Pedersen, with inputs from Sean Hughes and later improved by Xiaojie Qiu to handle large datasets with kNNs.

Authors:Thomas Lin Pedersen [aut, cre], Sean Hughes [aut], Xiaojie Qiu [aut]

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densityClust.pdf |densityClust.html✨
densityClust/json (API)
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Bug tracker:https://github.com/thomasp85/densityclust/issues

On CRAN:

8 exports 150 stars 5.10 score 34 dependencies 6 mentions 63 scripts 1.2k downloads

Last updated 7 months agofrom:887adc74a9. Checks:OK: 8 NOTE: 1. Indexed: yes.

Exports:clusteredclustersdensityClustestimateDcfindClustersplotDensityClustplotMDSplotTSNE

Dependencies:clicolorspacecpp11fansifarverFNNggplot2ggrepelgluegridExtragtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerRcpprlangRtsnescalestibbleutf8vctrsviridisLitewithr