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[ 原始碼: r-cran-densityclust  ]

套件: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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硬體架構 套件大小 安裝後大小 檔案
amd64 94。5 kB206。0 kB [檔案列表]
arm64 90。8 kB198。0 kB [檔案列表]
armel 89。6 kB185。0 kB [檔案列表]
armhf 90。5 kB169。0 kB [檔案列表]
i386 95。3 kB204。0 kB [檔案列表]
mips64el 90。6 kB220。0 kB [檔案列表]
mipsel 90。4 kB208。0 kB [檔案列表]
ppc64el 94。7 kB238。0 kB [檔案列表]
s390x 92。0 kB206。0 kB [檔案列表]