Skip to main content

python-cluster is a "simple" package that allows to create several groups (clusters) of objects from a list.

Project description

DESCRIPTION
===========

python-cluster is a "simple" package that allows 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. I
plan to implement other algoithms as well on an
"as-needed" or "as-I-have-time" basis.

Algorithms are based on the document found at
http://www.elet.polimi.it/upload/matteucc/Clustering/tutorial_html/

USAGE
=====

A simple python program could look like this::

>>> from cluster import *
>>> data = [12,34,23,32,46,96,13]
>>> cl = HierarchicalClustering(data, lambda x,y: abs(x-y))
>>> cl.getlevel(10) # get clusters of items closer than 10
[96, 46, [12, 13, 23, 34, 32]]
>>> cl.getlevel(5) # get clusters of items closer than 5
[96, 46, [12, 13], 23, [34, 32]]

Note, that when you retrieve a set of clusters, it immediately starts the
clustering process, which is quite complex. If you intend to create clusters
from a large dataset, consider doing that in a separate thread.

For K-Means clustering it would look like this:

>>> from cluster import KMeansClustering
>>> cl = KMeansClustering([(1,1), (2,1), (5,3), ...])
>>> clusters = cl.getclusters(2)

The parameter passed to getclusters is the count of clusters generated.

Project details


Release history Release notifications

History Node

1.4.1

History Node

1.4.0

History Node

1.3.3

History Node

1.3.2

History Node

1.3.1

History Node

1.2.2

History Node

1.2.1

History Node

1.2.0

History Node

1.1.2

This version
History Node

1.1.1b3

History Node

1.1.1b2

History Node

1.1.0b1

History Node

1.0.1b3

History Node

1.0.1b2

History Node

1.0.0a1

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Filename, size & hash SHA256 hash help File type Python version Upload date
cluster-1.1.1b3.tar.gz (38.4 kB) Copy SHA256 hash SHA256 Source None Jun 2, 2008

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging CloudAMQP CloudAMQP RabbitMQ AWS AWS Cloud computing Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page