Result for 108ED6E0484B71FEEB7091BB78980E971F5A64C9

Query result

Key Value
FileName./usr/lib64/R/library/fastcluster/DESCRIPTION
FileSize1849
MD5DA1E418FE53B27AD0B162F4929403D3A
SHA-1108ED6E0484B71FEEB7091BB78980E971F5A64C9
SHA-256D51E752F18532171AE0AFAA872D08898352B74961C9D6752D14F6BEB5F44587D
SSDEEP24:9l0vaSj2ILvn4JcLoBYU5zyLLcPyTHXvMC6TKRpmMz7nXviTFSZ1t8lEDdqbCCrF:f0ySHz4JIw55SLc67XCsNn/i42OqB
TLSHT1E53175BBFAC003368D41C9F33EA547DA4758409BA1821195B81D82144F0AA3976B7BF4
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
MD5072C31CE3CAE86DEC55A128A59D803E7
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
PackageReleaselp152.1.3
PackageVersion1.2.3
SHA-1628543CAD22488096EBFC37E87692E0D7126C141
SHA-256CF12941A1CDDA1938E3DDB4B4105488A9C7289C61ADE7F17E29F48E00E584DEB