Package: wnpp
Severity: normal

The current maintainer of autoclass, James R. Van Zandt <j...@debian.org>,
is apparently not active anymore.  Therefore, I orphan this package now.

Maintaining a package requires time and skills. Please only adopt this
package if you will have enough time and attention to work on it.

If you want to be the new maintainer, please see
http://www.debian.org/devel/wnpp/index.html#howto-o for detailed
instructions how to adopt a package properly.

Some information about this package:

Package: autoclass
Binary: autoclass
Version: 3.3.6-1
Maintainer: James R. Van Zandt <j...@debian.org>
Build-Depends: debhelper (>= 7), gs-common
Architecture: any
Standards-Version: 3.8.4
Format: 1.0
Files:
 56398bb205433c809cae565913396c81 1141 autoclass_3.3.6-1.dsc
 73dfe3d969d8e27ca1211f859ffc7e48 2234023 autoclass_3.3.6.orig.tar.gz
 57ee01ea7d64eef75abb3bde36c11e6e 60992 autoclass_3.3.6-1.diff.gz
Checksums-Sha1:
 cdbeb870202f10f4cdd91779c58a374dfe971371 1141 autoclass_3.3.6-1.dsc
 cb0302dbae0599a7a2b8ae023f765b79f1eea8b9 2234023 autoclass_3.3.6.orig.tar.gz
 305d4d033973640d577a3d514deb86f6f929b353 60992 autoclass_3.3.6-1.diff.gz
Checksums-Sha256:
 985161d8b2443c57562ce47881e0114ec215910948e67644a6490bcda5b90091 1141 
autoclass_3.3.6-1.dsc
 b54e0a18523551ba8aa8c51c9bb6c2eb9a9fdffe888c8b8dc2652417754259ce 2234023 
autoclass_3.3.6.orig.tar.gz
 26c4cd0d26df29ec18a9f77bafb5468483c8714cd5d1bbafbfdcccb0a80fc85a 60992 
autoclass_3.3.6-1.diff.gz
Homepage: http://ti.arc.nasa.gov/project/autoclass/
Directory: pool/main/a/autoclass
Priority: source
Section: math

Package: autoclass
Version: 3.3.6-1
Installed-Size: 1084
Maintainer: James R. Van Zandt <j...@debian.org>
Architecture: amd64
Depends: libc6 (>= 2.2.5)
Description: automatic classification or clustering
 AutoClass solves the problem of automatic discovery of classes in data
 (sometimes called clustering, or unsupervised learning), as distinct
 from the generation of class descriptions from labeled examples
 (called supervised learning).  It aims to discover the "natural"
 classes in the data.  AutoClass is applicable to observations of
 things that can be described by a set of attributes, without referring
 to other things.  The data values corresponding to each attribute are
 limited to be either numbers or the elements of a fixed set of
 symbols.  With numeric data, a measurement error must be provided.
Homepage: http://ti.arc.nasa.gov/project/autoclass/
Tag: field::mathematics, interface::commandline, role::program, scope::utility, 
use::organizing
Section: math
Priority: optional
Filename: pool/main/a/autoclass/autoclass_3.3.6-1_amd64.deb
Size: 592088
MD5sum: 129e7147638afe867e866ac2cc210fc5
SHA1: 9ba602a21f5ff31b89e169ce61ba6eb5b9557417
SHA256: 70f1bae10c9b287c079162274967607b271a789d52a6e3a77339cdcfb840281a




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