Result for 19FD36BAD39E9DEC06DD07AFB7490937CEBD79C0

Query result

Key Value
FileName./usr/lib64/R/library/fastcluster/Meta/nsInfo.rds
FileSize293
MD53188685AFC71092AE3BC56E1499A0287
SHA-119FD36BAD39E9DEC06DD07AFB7490937CEBD79C0
SHA-2568B9C69C59013B092E1C027EDB5A29F4766470BFA2C38297A45347BDEF9BE3206
SSDEEP6:Xt74b8MzaNSUkHCWL0G0q41VjyGf5rqyoPnI48+bkoMp0N2NgtOd/n:XuIMzaNSQqcXjyGfoXnIxxoMp0kNoOtn
TLSHT136E02BA48866ADF7C9494DF23381D167561A29568407203FF116B81DB6D891CF4D317E
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