Result for 158EC694D9AB54A3A8CD8D6D223E92530137E38F

Query result

Key Value
FileName./usr/lib64/R/library/fastcluster/R/fastcluster.rdb
FileSize4306
MD5B4ACA38E72F4CA96024F5F73873B6C3E
SHA-1158EC694D9AB54A3A8CD8D6D223E92530137E38F
SHA-256FFC877CC82EF577FD29D309533B108F89F4651FE9083E7E87E1D6FFE0FE1DB28
SSDEEP96:zlRt9zp3XXMtVtsO/y7KSjj78bb1CsGxfwpoNG6J:zltp3XX2DoOmQBCrHJ
TLSHT118914C7E07440A0514A6A48A453248E7F9AC54F2FFD68C277E153F22F3A8D711E775B4
hashlookup:parent-total1
hashlookup:trust55

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Parents (Total: 1)

The searched file hash is included in 1 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD59C222D75F3222868CAE0E2D97C9CB017
PackageArchx86_64
PackageDescriptionThis is a two-in-one package which provides interfaces to both R and 'Python'. It implements fast hierarchical, agglomerative clustering routines. Part of the functionality is designed as drop-in replacement for existing routines: linkage() in the 'SciPy' package 'scipy.cluster.hierarchy', hclust() in R's 'stats' package, and the 'flashClust' package. It provides the same functionality with the benefit of a much faster implementation. Moreover, there are memory-saving routines for clustering of vector data, which go beyond what the existing packages provide. For information on how to install the 'Python' files, see the file INSTALL in the source distribution. Based on the present package, Christoph Dalitz also wrote a pure 'C++' interface to 'fastcluster': <https://lionel.kr.hs-niederrhein.de/~dalitz/data/hclust/>.
PackageNameR-fastcluster
PackageReleaselp154.1.1
PackageVersion1.2.3
SHA-1AB350D035FB7FE2146B2E47937D13CF12EB3B74E
SHA-256129A164181D2EA0C10AC4D56C6D6BC7A166EE48441BDA5BF49216FFF3B1D450F