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[ Source: r-cran-densityclust  ]

Package: r-cran-densityclust (0.3.2-1)

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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.

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Download r-cran-densityclust

Download for all available architectures
Architecture Package Size Installed Size Files
alpha (unofficial port) 94.2 kB222.0 kB [list of files]
amd64 94.5 kB206.0 kB [list of files]
arm64 90.8 kB198.0 kB [list of files]
armel 89.6 kB185.0 kB [list of files]
armhf 90.5 kB169.0 kB [list of files]
hppa (unofficial port) 95.8 kB215.0 kB [list of files]
i386 95.3 kB204.0 kB [list of files]
ia64 (unofficial port) 100.9 kB289.0 kB [list of files]
m68k (unofficial port) 92.6 kB197.0 kB [list of files]
mips64el 90.6 kB220.0 kB [list of files]
mipsel 90.4 kB208.0 kB [list of files]
ppc64 (unofficial port) 95.7 kB240.0 kB [list of files]
ppc64el 94.7 kB238.0 kB [list of files]
riscv64 (unofficial port) 93.1 kB186.0 kB [list of files]
s390x 92.0 kB206.0 kB [list of files]
sh4 (unofficial port) 98.5 kB201.0 kB [list of files]
sparc64 (unofficial port) 88.9 kB202.0 kB [list of files]
x32 (unofficial port) 93.8 kB193.0 kB [list of files]