Balík: r-cran-dbscan (1.2-0+ds-1)

[ Zdroj: r-cran-dbscan  ]

Density Based Clustering of Applications with Noise (DBSCAN)

Density Based Clustering of Applications with Noise (DBSCAN) and Related Algorithms provides a fast reimplementation of several density- based algorithms of the DBSCAN family for spatial data. 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), and the outlier detection algorithm LOF (local outlier factor). 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>.

Ostatné balíky súvisiace s balíkom r-cran-dbscan

• dep: libc6 (>= 2.38)

  knižnica GNU C - zdieľané knižnice
  tiež virtuálny balík poskytovaný balíkom libc6-udeb

• dep: libgcc-s1 (>= 3.0)

  podporná knižnica GCC

• dep: libstdc++6 (>= 14)

  štandardná knižnica C++ GNU v3

• dep: r-api-4.0

  virtuálny balík poskytovaný balíkom r-base-core

• dep: r-cran-generics

  GNU R common S3 generics not provided by base R methods

• dep: r-cran-rcpp (>= 1.0.0)

  balík GNU R na hladkú integráciu R a C++

• rec: r-cran-dendextend

  Extending 'dendrogram' Functionality in GNU R

• rec: r-cran-fpc

  GNU R flexible procedures for clustering

• rec: r-cran-igraph

  GNU R network analysis and visualization

• rec: r-cran-knitr

  balík GNU R na dynamickú tvorbu zostáv pomocou Literate Programming

• rec: r-cran-microbenchmark

  GNU R package for Accurate Timeing Functions

• rec: r-cran-rlang

  Functions for Base Types and Core R and 'Tidyverse' Features

• rec: r-cran-rmarkdown

  convert R markdown documents into a variety of formats

• rec: r-cran-testthat (>= 3.0.0)

  GNU R testsuite

• rec: r-cran-tibble

  GNU R Simple Data Frames

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Architektúra	Veľkosť balíka	Nainštalovaná veľkosť	Súbory
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