Result for 2F61DB68767C8EAA0AED353F896F67FB69C8DAAD

Query result

Key Value
FileName./usr/lib64/R/library/fastcluster/DESCRIPTION
FileSize1849
MD5B9B125E2681AC46D5D68CE5F8CA2E2C4
SHA-12F61DB68767C8EAA0AED353F896F67FB69C8DAAD
SHA-2560C00E0B58BC74988C87B9014C13AFCA3A4A2C588B6C4109280BEB178F6646890
SSDEEP24:9l0vaSj2ILvn4JcLoBYU5zyLLcPyTHXvMC6TKRpmMz7nXviTFSZ1t8lEDdqbCCrB:f0ySHz4JIw55SLc67XCsNn/i42OqN
TLSHT1DD3175BBFAC003378D41C9E33EA547D64658419BA1825595B81D82144F0EA3976B7BF4
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
MD5C8A15A1A9FCB83F874C194F22F556A7E
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
PackageRelease1.21
PackageVersion1.2.3
SHA-1FCC18022D2AA955775F90F45CDBD227A5AA89659
SHA-2567561736A747D813CC7C5BD44298B564C2508C9C7C0D50BE4783FE832C9CF0A34