Result for 0E27348739901CAF1A593C682C4CCA838D012547

Query result

Key Value
FileName./usr/lib64/R/library/fastcluster/help/aliases.rds
FileSize125
MD5D3AF5C0C5F5CA37509892EBF7A84F395
SHA-10E27348739901CAF1A593C682C4CCA838D012547
SHA-2563A87F86042870CEDC77678B8A02DF7F458DF33078EC2D65BCA32567AB94B7508
SSDEEP3:FttVFD/EWOjf9hdrts0LhabAcMrzkusttMXC0jSTeG4Akd/n:XtVFDjOJhY0t95rzMtQjw6A8n
TLSHT1EEB09B55C740441294A656B0D5D10B545BCC45D5E6D559515014568191C85915C714DD
hashlookup:parent-total4
hashlookup:trust70

Network graph view

Parents (Total: 4)

The searched file hash is included in 4 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
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
Key Value
MD585715BF2F5AB4FEE5BCFFB815951D467
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
PackageReleaselp153.1.2
PackageVersion1.2.3
SHA-102BC16904A94F259DD3C1842E25193A08CDC7161
SHA-25613794DF7333678E2A62F43A54D4E62FCE8CB42D41F75E31CCAB4E3403AB9EF3E
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