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:
densityClust_0.3.3.9000.tar.gz
densityClust_0.3.3.9000.zip(r-4.5)densityClust_0.3.3.9000.zip(r-4.4)densityClust_0.3.3.9000.zip(r-4.3)
densityClust_0.3.3.9000.tgz(r-4.4-x86_64)densityClust_0.3.3.9000.tgz(r-4.4-arm64)densityClust_0.3.3.9000.tgz(r-4.3-x86_64)densityClust_0.3.3.9000.tgz(r-4.3-arm64)
densityClust_0.3.3.9000.tar.gz(r-4.5-noble)densityClust_0.3.3.9000.tar.gz(r-4.4-noble)
densityClust_0.3.3.9000.tgz(r-4.4-emscripten)densityClust_0.3.3.9000.tgz(r-4.3-emscripten)
densityClust.pdf |densityClust.html✨
densityClust/json (API)
NEWS
# Install 'densityClust' in R: |
install.packages('densityClust', repos = c('https://thomasp85.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/thomasp85/densityclust/issues
Last updated 7 months agofrom:887adc74a9. Checks:OK: 8 NOTE: 1. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Aug 26 2024 |
R-4.5-win-x86_64 | NOTE | Aug 26 2024 |
R-4.5-linux-x86_64 | OK | Aug 26 2024 |
R-4.4-win-x86_64 | OK | Aug 26 2024 |
R-4.4-mac-x86_64 | OK | Aug 26 2024 |
R-4.4-mac-aarch64 | OK | Aug 26 2024 |
R-4.3-win-x86_64 | OK | Aug 26 2024 |
R-4.3-mac-x86_64 | OK | Aug 26 2024 |
R-4.3-mac-aarch64 | OK | Aug 26 2024 |
Exports:clusteredclustersdensityClustestimateDcfindClustersplotDensityClustplotMDSplotTSNE
Dependencies:clicolorspacecpp11fansifarverFNNggplot2ggrepelgluegridExtragtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerRcpprlangRtsnescalestibbleutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Check whether a densityCluster object have been clustered | clustered clustered.densityCluster |
Extract cluster membership from a densityCluster object | clusters clusters.densityCluster |
Calculate clustering attributes based on the densityClust algorithm | densityClust |
Estimate the distance cutoff for a specified neighbor rate | estimateDc |
Detect clusters in a densityCluster obejct | findClusters findClusters.densityCluster |
Plot densityCluster results | plotDensityClust |
Plot observations using multidimensional scaling and colour by cluster | plotMDS |
Plot observations using t-distributed neighbor embedding and colour by cluster | plotTSNE |