Result for 2DEE392736854555AECB3D9E5B57628B45DD9F29

Query result

Key Value
FileName./usr/lib64/R/library/fastcluster/help/paths.rds
FileSize134
MD5BAF909C23EF73BECD15DAACE275FFC42
SHA-12DEE392736854555AECB3D9E5B57628B45DD9F29
SHA-256A3E750C424373C5A3E70768F2BD45B3187D27ECB3939A28AA29104F31AFFEFFE
SSDEEP3:FttVFHIXYhqAZLCZ3rVyxQpo1/yv9o9mu21PcCsKk3rk:XtVFoIhqrcQp+aGWVBs/bk
TLSHT167C02B1AF20E914CD5DF00B54004C4C0204D0812DEE405E2770630AD010880366C7014
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
MD5FEDC36227CCCCACFFB3E662188AAC6AA
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
PackageReleaselp153.1.1
PackageVersion1.2.3
SHA-1D5DBD5F537C77433D8A1C22004896F39F0E87646
SHA-25638925B6F89460AA209E721333D8CE1CB9CA2F19CE96A7D86898850D94371BA88