Hierarchical Clustering Algorithms (Information Theory)
Project description
This library provides Python functions for hierarchical clustering. Its features include
generating hierarchical clusters from distance matrices
computing distance matrices from observation vectors
computing statistics on clusters
cutting linkages to generate flat clusters
and visualizing clusters with dendrograms.
The interface is very similar to MATLAB’s Statistics Toolbox API to make code easier to port from MATLAB to Python/Numpy. The core implementation of this library is in C for efficiency.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file dedupe-hcluster-0.3.1.tar.gz.
File metadata
- Download URL: dedupe-hcluster-0.3.1.tar.gz
- Upload date:
- Size: 164.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | e09228c2be904d968674c2629d89dfa231790c47975e06670fe8753941604e50 |
|
| MD5 | e5e7e204c6de2471cd98871fabd734f8 |
|
| BLAKE2b-256 | 4059285bc12135a144ed98971fb68b6dac2fc7f332e787a38748ca7378265dd6 |
File details
Details for the file dedupe_hcluster-0.3.1-py2.7-linux-x86_64.egg.
File metadata
- Download URL: dedupe_hcluster-0.3.1-py2.7-linux-x86_64.egg
- Upload date:
- Size: 459.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 7096763c4a691d35620b21cd7bccba6eb3b20ed3629ab470d96f7d8db8d4d542 |
|
| MD5 | 0f31383e573c48efde63111ff4e2ca91 |
|
| BLAKE2b-256 | 7f463aa1554b77fcc1ec5efaef020a8088bc9273af70df5bd62646bf49decc54 |
