diff --git a/classixclustering.egg-info/PKG-INFO b/classixclustering.egg-info/PKG-INFO
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-Metadata-Version: 2.1
-Name: classixclustering
-Version: 1.2.8
-Summary: Fast and explainable clustering based on sorting
-Home-page: https://github.com/nla-group/CLASSIX.git
-Author: Xinye Chen, Stefan Güttel
-Author-email: xinyechenai@gmail, stefan.guettel@manchester.ac.uk
-License: MIT License
-Classifier: Intended Audience :: Science/Research
-Classifier: Intended Audience :: Developers
-Classifier: Programming Language :: C
-Classifier: Programming Language :: Python
-Classifier: Topic :: Software Development
-Classifier: Topic :: Scientific/Engineering
-Classifier: Operating System :: Microsoft :: Windows
-Classifier: Operating System :: POSIX
-Classifier: Operating System :: Unix
-Classifier: Operating System :: MacOS
-Classifier: Programming Language :: Python :: 3
-Description-Content-Type: text/x-rst
-License-File: LICENSE
-Requires-Dist: cython>=0.27
-Requires-Dist: numpy>=1.17.3
-Requires-Dist: scipy>=1.7.0
-Requires-Dist: pandas
-Requires-Dist: matplotlib>=3.5
-Requires-Dist: requests
-
-.. image:: https://codecov.io/gh/nla-group/classix/branch/master/graph/badge.svg?token=D4MQZS67H1
-    :target: https://codecov.io/gh/nla-group/classix
-    :alt: codecov
-.. image:: https://img.shields.io/pypi/v/ClassixClustering?color=orange
-    :target: https://pypi.org/project/ClassixClustering/
-    :alt: pypi
-.. image:: https://static.pepy.tech/badge/ClassixClustering
-    :target: https://pypi.org/project/ClassixClustering/
-    :alt: Download Status
-.. image:: https://readthedocs.org/projects/classix/badge/?version=latest
-    :target: https://classix.readthedocs.io/en/latest/?badge=latest
-    :alt: Documentation Status
-.. image:: https://img.shields.io/badge/License-MIT-yellow.svg
-    :target: https://github.com/nla-group/classix/blob/master/LICENSE
-    :alt: License: MIT
-
-
-
-CLASSIX is a fast and explainable clustering algorithm based on sorting. Here are a few highlights:
-
-* Ability to cluster low and high-dimensional data of arbitrary shape efficiently.
-* Ability to detect and deal with outliers in the data.
-* Ability to provide textual explanations for the generated clusters.
-* Full reproducibility of all tests in the accompanying paper.
-* Support of Cython compilation.
-
-``CLASSIX`` is a contrived acronym of CLustering by Aggregation with Sorting-based Indexing and the letter X for explainability. CLASSIX clustering consists of two phases, namely a greedy aggregation phase of the sorted data into groups of nearby data points, followed by a merging phase of groups into clusters. The algorithm is controlled by two parameters, namely the distance parameter radius for the group aggregation and a minPts parameter controlling the minimal cluster size.
-
-
------------------------
-Installing and example
------------------------
-
-CLASSIX has the following dependencies for its clustering functionality:
-
-* cython
-* numpy
-* scipy
-* requests
-
-and requires the following packages for data visualization:
-
-* matplotlib
-* pandas
-
-
-To install the current CLASSIX release via PIP use:
-
-.. code:: bash
-    
-    pip install classixclustering
-
-To check the CLASSIX installation you can use:
-
-.. code:: bash
-    
-    python -m pip show classixclustering
-
-
-Download the repository via:
-
-.. code:: bash
-    
-    git clone https://github.com/nla-group/classix.git
-    
-    
-
-Example usage:
-
-.. code:: python
-
-    from sklearn import datasets
-    from classix import CLASSIX
-
-    # Generate synthetic data
-    X, y = datasets.make_blobs(n_samples=2000000, centers=4, n_features=10, random_state=1)
-
-    # Employ CLASSIX clustering
-    clx = CLASSIX(sorting='pca', verbose=1)
-    clx.fit(X)
-
-
-----------
-Citation
-----------
-
-.. code:: bibtex
-
-    @techreport{CG22b,
-      title   = {Fast and explainable clustering based on sorting},
-      author  = {Chen, Xinye and G\"{u}ttel, Stefan},
-      year    = {2022},
-      number  = {arXiv:2202.01456},
-      pages   = {25},
-      institution = {The University of Manchester},
-      address = {UK},
-      type    = {arXiv EPrint},
-      url     = {https://arxiv.org/abs/2202.01456}
-    }
diff --git a/classixclustering.egg-info/SOURCES.txt b/classixclustering.egg-info/SOURCES.txt
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-LICENSE
-README.rst
-setup.py
-classix/__init__.py
-classix/aggregate.py
-classix/aggregate_c.c
-classix/aggregate_cm.c
-classix/clustering.py
-classix/merge.py
-classix/merge_cm.c
-classix/merge_cm_win.c
-classixclustering.egg-info/PKG-INFO
-classixclustering.egg-info/SOURCES.txt
-classixclustering.egg-info/dependency_links.txt
-classixclustering.egg-info/requires.txt
-classixclustering.egg-info/top_level.txt
\ No newline at end of file
diff --git a/classixclustering.egg-info/dependency_links.txt b/classixclustering.egg-info/dependency_links.txt
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-
diff --git a/classixclustering.egg-info/requires.txt b/classixclustering.egg-info/requires.txt
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-cython>=0.27
-numpy>=1.17.3
-scipy>=1.7.0
-pandas
-matplotlib>=3.5
-requests
diff --git a/classixclustering.egg-info/top_level.txt b/classixclustering.egg-info/top_level.txt
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-classix