Python implementation of Consensus Clustering by Monti et al. (2003)
Project description
Consensus Clustering
Description
consensusclustering is a python implementation of the Consensus Clustering
algorithm for finding the optimal number of clusters by means of clustering
stability under resampling, as originally proposed by Monti et al. Consensus
Clustering: A Resampling-Based Method for Class Discovery and Visualization of Gene
Expression Microarray Data (2003).
Installation
consensusclustering can be installed from PyPi using pip:
pip install consensusclustering
Usage
See the 'examples' directory for a detailed overview of the package's functionality.
License
consensusclustering is licensed under the MIT license, is free to use, and comes with no warranty whatsoever.
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
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file consensusclustering-0.2.4.tar.gz.
File metadata
- Download URL: consensusclustering-0.2.4.tar.gz
- Upload date:
- Size: 7.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/2.1.4 CPython/3.11.2 Linux/6.8.0-79-generic
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
3f206d4e536a5f7b4506ef3db03a97a8eef72894b558a835a5ca4c62768f7533
|
|
| MD5 |
c2ac2854a1fc2ccce554172f5484aac9
|
|
| BLAKE2b-256 |
a29572bccb3093828d5edff090b70cb81271f6aa4e216e910c2c4dce3cee00ed
|
File details
Details for the file consensusclustering-0.2.4-py3-none-any.whl.
File metadata
- Download URL: consensusclustering-0.2.4-py3-none-any.whl
- Upload date:
- Size: 7.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/2.1.4 CPython/3.11.2 Linux/6.8.0-79-generic
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
d75898cb4d6f42658820e81f69d4db9b7b450a6d2833bce23ef8d8f480e0ae50
|
|
| MD5 |
10ed641f813c7fa4415ca8f085503ff4
|
|
| BLAKE2b-256 |
4de516229de8b6562684108bf8d1b8c58540b560ef5a07fa8d5ffadcb770224a
|
