python-cluster 1.3.3-4 source package in Ubuntu
Changelog
python-cluster (1.3.3-4) unstable; urgency=medium
* Team upload.
[ Ondřej Nový ]
* d/control: Update Maintainer field with new Debian Python Team
contact address.
* d/control: Update Vcs-* fields with new Debian Python Team Salsa
layout.
[ Debian Janitor ]
* Set upstream metadata fields: Bug-Database, Bug-Submit, Repository,
Repository-Browse.
* Bump debhelper from old 12 to 13.
[ Boyuan Yang ]
* Update standards version to 4.6.1, no changes needed.
[ Luciano Bello ]
* removing Luciano as uploader, as he is retiring.
-- Boyuan Yang <email address hidden> Sat, 21 May 2022 12:49:59 -0400
Upload details
- Uploaded by:
- Debian Python Team
- Uploaded to:
- Sid
- Original maintainer:
- Debian Python Team
- Architectures:
- all
- Section:
- python
- Urgency:
- Medium Urgency
See full publishing history Publishing
| Series | Published | Component | Section |
|---|
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| python-cluster_1.3.3-4.dsc | 2.1 KiB | 8410a1a578190b8fa769fb04aec24c891a1463a3680f8e8bfa226f66aa82123a |
| python-cluster_1.3.3.orig.tar.gz | 48.2 KiB | 4de2600408b77749abf6186df8571c3193ae7b729ec256fd8d0c25152c57ddf4 |
| python-cluster_1.3.3-4.debian.tar.xz | 3.1 KiB | 9071c6674fff681cd7a60c59329575511c8ef4fc3cfc4da9b998b4e74d40f111 |
Available diffs
- diff from 1.3.3-3 to 1.3.3-4 (995 bytes)
No changes file available.
Binary packages built by this source
- python3-cluster: allows grouping a list of arbitrary objects into related groups (clusters)
python-cluster is a "simple" package that allows users to create several groups
(clusters) of objects from a list. It's meant to be flexible and able to
cluster any object. To ensure this kind of flexibility, you need not only to
supply the list of objects, but also a function that calculates the similarity
between two of those objects. For simple datatypes, like integers, this can be
as simple as a subtraction, but more complex calculations are possible. Right
now, it is possible to generate the clusters using a hierarchical clustering
and the popular K-Means algorithm. For the hierarchical algorithm there are
different "linkage" (single, complete, average and uclus) methods available.
.
This is the Python 3 compatible package.
