Paket: r-cran-densityclust (0.3-2)

[ Kaynak: r-cran-densityclust  ]

GNU R 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.

r-cran-densityclust ile İlgili Diğer Paketler

• dep: libc6 (>= 2.29)

  GNU C Library: Shared libraries
  ayrıca şunun tarafından sağlanan bir sanal paket libc6-udeb

• dep: libgcc-s1 (>= 3.0) [armel, armhf değil]

  GCC support library

  dep: libgcc-s1 (>= 3.5) [armel, armhf]

• dep: libstdc++6 (>= 5.2)

  GNU Standard C++ Library v3

• dep: r-api-4.0

  sanal paketi sağlayan r-base-core

• dep: r-base-core (>= 4.0.2-1)

  GNU R core of statistical computation and graphics system

• dep: r-cran-fnn

  GNU R fast nearest neighbor search algorithms and applications

• dep: r-cran-ggplot2

  implementation of the Grammar of Graphics

• dep: r-cran-ggrepel

  auto-position non-overlapping text labels in plots

• dep: r-cran-gridextra

  GNU R package with extensions for the grid package

• dep: r-cran-rcolorbrewer

  GNU R package providing suitable color palettes

• dep: r-cran-rcpp

  GNU R package for Seamless R and C++ Integration

• dep: r-cran-rtsne

  GNU R T-Distributed Stochastic Neighbor Embedding using a Barnes-Hut

• rec: r-cran-testthat

  GNU R testsuite

r-cran-densityclust indir

Tüm mevcut mimariler için indir

Mimari	Paket Boyutu	Kurulu Boyut	Dosyalar
amd64	91,3 kB	197,0 kB	[dosya listesi]
arm64	88,4 kB	193,0 kB	[dosya listesi]
armel	88,5 kB	184,0 kB	[dosya listesi]
armhf	87,8 kB	164,0 kB	[dosya listesi]
i386	92,4 kB	195,0 kB	[dosya listesi]
mips64el	88,2 kB	212,0 kB	[dosya listesi]
mipsel	88,3 kB	199,0 kB	[dosya listesi]
ppc64el	92,2 kB	237,0 kB	[dosya listesi]
s390x	89,6 kB	201,0 kB	[dosya listesi]