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Consensus Clustering

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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.

Metadata

Release files for consensusclustering 0.2.4

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Source distribution (sdist)

Source distribution for consensusclustering 0.2.4
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Built distribution (wheel)

Table of built distributions (wheels) for consensusclustering 0.2.4
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consensusclustering-0.2.4-py3-none-any.whl Python 3 none any Details for consensusclustering-0.2.4-py3-none-any.whl

Total release size: 14.7 kB

Release files / consensusclustering-0.2.4.tar.gz

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Release files / consensusclustering-0.2.4-py3-none-any.whl

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Security for consensusclustering 0.2.4

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