python-cluster 1.4.1.post3-1 source package in Ubuntu
Changelog
python-cluster (1.4.1.post3-1) unstable; urgency=medium * Team upload. * New upstream release. * debian/: Apply "wrap-and-sort -abst". * debian/control: Bump Standards-Version to 4.6.1. -- Boyuan Yang <email address hidden> Sat, 22 Oct 2022 12:10:36 -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 | |
---|---|---|---|---|
Oracular | release | universe | python | |
Noble | release | universe | python | |
Mantic | release | universe | python | |
Lunar | release | universe | python |
Downloads
File | Size | SHA-256 Checksum |
---|---|---|
python-cluster_1.4.1.post3-1.dsc | 2.1 KiB | 4458133c3dde7bdcf85086e604f4010db3ae7e3f4afeff484f789d774970934f |
python-cluster_1.4.1.post3.orig.tar.gz | 50.0 KiB | b1dcc9574fb68538c85b50bb661c5410431777be98f0900e49710b05e657c2f5 |
python-cluster_1.4.1.post3-1.debian.tar.xz | 3.1 KiB | 442bb5074a50c4386957cf71f16760ea7f8f70df4fabe5ab2d3d3905543220ad |
Available diffs
- diff from 1.3.3-4 to 1.4.1.post3-1 (6.1 KiB)
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.