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erwanschild authored Nov 15, 2023
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[![pypi version](https://img.shields.io/pypi/v/cognitivefactory-interactive-clustering.svg)](https://pypi.org/project/cognitivefactory-interactive-clustering/)
[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.4775251.svg)](https://doi.org/10.5281/zenodo.4775251)


Python package used to apply NLP interactive clustering methods.


## <a name="Description"></a> Quick description

_Interactive clustering_ is a method intended to assist in the design of a training data set.
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- _Scikit-learn_: `Pedregosa, F., G. Varoquaux, A. Gramfort, V. Michel, B. Thirion, O. Grisel, M. Blondel, P. Prettenhofer, R.Weiss, V. Dubourg, J. Vanderplas, A. Passos, D. Cournapeau, M. Brucher, M. Perrot, et E. Duchesnay (2011). Scikit-learn : Machine Learning in Python. Journal of Machine Learning Research 12, 2825–2830.`
- _Scikit-learn_ _'TfidfVectorizer'_: `https://scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.text.TfidfVectorizer.html`


## <a name="How to cite"></a> How to cite

`Schild, E. (2021). cognitivefactory/interactive-clustering. Zenodo. https://doi.org/10.5281/zenodo.4775251.`

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