Key | Value |
---|---|
FileName | ./usr/lib64/R/library/aweSOM/R/aweSOM.rdb |
FileSize | 62093 |
MD5 | B5CEEEB028C75E231DD539073956E97E |
SHA-1 | 302F43D69A8879A6EBBB0C5B09157A3C5572EDA1 |
SHA-256 | ADF7C11016397F2A7783F890011B15B86BCA2BBFB083DDBCFFFA1F85AA6E8B63 |
SSDEEP | 1536:z2A23XQKooNfmnOZjAXCg5gum6lOSB0x5G83El3F:NoNfmCgK6Hrb |
TLSH | T1D25301F5ED0FD0A29CCA7BB1B06C62826FB41279D95185D83861DB03746C698ACF70F6 |
hashlookup:parent-total | 1 |
hashlookup:trust | 55 |
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 |
---|---|
MD5 | 422C832ADA637A26587585EF2490AC12 |
PackageArch | x86_64 |
PackageDescription | Self-organizing maps (also known as SOM, see Kohonen (2001) <doi:10.1007/978-3-642-56927-2>) are a method for dimensionality reduction and clustering of continuous data. This package introduces interactive (html) graphics for easier analysis of SOM results. It also features an interactive interface, for push-button training and visualization of SOM on numeric, categorical or mixed data, as well as tools to evaluate the quality of SOM. |
PackageName | R-aweSOM |
PackageRelease | lp153.9.1 |
PackageVersion | 1.2 |
SHA-1 | D2DA342C89A4DDD23E644C1A5A0499A149476CC3 |
SHA-256 | CC2188990532BFF4DF5003613B232B87C98D14B29F9D51620CF3FC8C1A861AF4 |