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

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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 for all available architectures
Architecture Package Size Installed Size Files
alpha (unofficial port) 91.8 kB213.0 kB [list of files]
amd64 91.3 kB197.0 kB [list of files]
arm64 88.4 kB193.0 kB [list of files]
armel 88.5 kB184.0 kB [list of files]
armhf 87.8 kB164.0 kB [list of files]
hppa (unofficial port) 93.6 kB206.0 kB [list of files]
i386 92.4 kB195.0 kB [list of files]
m68k (unofficial port) 90.2 kB188.0 kB [list of files]
mips64el 88.2 kB212.0 kB [list of files]
mipsel 88.3 kB199.0 kB [list of files]
ppc64 (unofficial port) 93.0 kB239.0 kB [list of files]
ppc64el 92.2 kB237.0 kB [list of files]
riscv64 (unofficial port) 90.9 kB185.0 kB [list of files]
s390x 89.6 kB201.0 kB [list of files]
sh4 (unofficial port) 95.5 kB192.0 kB [list of files]
sparc64 (unofficial port) 86.5 kB201.0 kB [list of files]
x32 (unofficial port) 91.2 kB188.0 kB [list of files]