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
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

Key	Value
MD5	FC1AD930D9AB73D908FAA5C4960A7A76
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	lp154.9.1
PackageVersion	1.2
SHA-1	414797B8ECAB0CAB6105A17CADC9A4CC88501E41
SHA-256	5E1680784CA5CD8B3F6CD8381427631213EBBB2D4C15CC6E52238F4DB0E90954

Key	Value
MD5	5C2C06183E771A40FA011A821C9E58D5
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	9.1
PackageVersion	1.2
SHA-1	74E9E2A7E8A2000878D283F136E4A1E004AB4F27
SHA-256	A3FC14D5D47657B65297DAE9FF11FA8500E2BD6C34E296AAF41655C73271B106

Key	Value
MD5	835008CF4C47EC17A4B2F7F2A90A4B06
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	lp152.9.1
PackageVersion	1.2
SHA-1	A0175D4B2CBF8DE0AF492704DD8457E99F54019B
SHA-256	B5C7A6CD00E9CD537482293F1D78EA341A23E6C82DC876F775AA81B11D0D9200