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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:

pip install classixclustering

To check the CLASSIX installation you can use:

python -m pip show classixclustering

Download the repository via:

git clone https://github.com/nla-group/classix.git

Example usage:

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

@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}

}

Metadata

Release files for classixclustering 1.5.3

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Built distributions (wheels)

Table of built distributions (wheels) for classixclustering 1.5.3
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classixclustering-1.5.3-cp314-cp314-win_amd64.whl CPython 3.14 CPython 3.14 Windows x86-64 Details
classixclustering-1.5.3-cp314-cp314-win32.whl CPython 3.14 CPython 3.14 Windows x86-32 Details
classixclustering-1.5.3-cp314-cp314-musllinux_1_2_x86_64.whl CPython 3.14 CPython 3.14 Linux musl 1.2+ x86-64 Details
classixclustering-1.5.3-cp314-cp314-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl CPython 3.14 CPython 3.14 Linux glibc 2.28+ x86-64, Linux glibc 2.24+ x86-64 Details
classixclustering-1.5.3-cp314-cp314-macosx_11_0_arm64.whl CPython 3.14 CPython 3.14 macOS 11.0+ ARM64 Details
classixclustering-1.5.3-cp313-cp313-win_amd64.whl CPython 3.13 CPython 3.13 Windows x86-64 Details
classixclustering-1.5.3-cp313-cp313-win32.whl CPython 3.13 CPython 3.13 Windows x86-32 Details
classixclustering-1.5.3-cp313-cp313-musllinux_1_2_x86_64.whl CPython 3.13 CPython 3.13 Linux musl 1.2+ x86-64 Details
classixclustering-1.5.3-cp313-cp313-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl CPython 3.13 CPython 3.13 Linux glibc 2.28+ x86-64, Linux glibc 2.24+ x86-64 Details
classixclustering-1.5.3-cp313-cp313-macosx_11_0_arm64.whl CPython 3.13 CPython 3.13 macOS 11.0+ ARM64 Details
classixclustering-1.5.3-cp312-cp312-win_amd64.whl CPython 3.12 CPython 3.12 Windows x86-64 Details
classixclustering-1.5.3-cp312-cp312-win32.whl CPython 3.12 CPython 3.12 Windows x86-32 Details
classixclustering-1.5.3-cp312-cp312-musllinux_1_2_x86_64.whl CPython 3.12 CPython 3.12 Linux musl 1.2+ x86-64 Details
classixclustering-1.5.3-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl CPython 3.12 CPython 3.12 Linux glibc 2.28+ x86-64, Linux glibc 2.24+ x86-64 Details
classixclustering-1.5.3-cp312-cp312-macosx_11_0_arm64.whl CPython 3.12 CPython 3.12 macOS 11.0+ ARM64 Details
classixclustering-1.5.3-cp311-cp311-win_amd64.whl CPython 3.11 CPython 3.11 Windows x86-64 Details
classixclustering-1.5.3-cp311-cp311-win32.whl CPython 3.11 CPython 3.11 Windows x86-32 Details
classixclustering-1.5.3-cp311-cp311-musllinux_1_2_x86_64.whl CPython 3.11 CPython 3.11 Linux musl 1.2+ x86-64 Details
classixclustering-1.5.3-cp311-cp311-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl CPython 3.11 CPython 3.11 Linux glibc 2.28+ x86-64, Linux glibc 2.24+ x86-64 Details
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classixclustering-1.5.3-cp310-cp310-win32.whl CPython 3.10 CPython 3.10 Windows x86-32 Details
classixclustering-1.5.3-cp310-cp310-musllinux_1_2_x86_64.whl CPython 3.10 CPython 3.10 Linux musl 1.2+ x86-64 Details
classixclustering-1.5.3-cp310-cp310-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl CPython 3.10 CPython 3.10 Linux glibc 2.28+ x86-64, Linux glibc 2.24+ x86-64 Details
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classixclustering-1.5.3-cp39-cp39-win32.whl CPython 3.9 CPython 3.9 Windows x86-32 Details
classixclustering-1.5.3-cp39-cp39-musllinux_1_2_x86_64.whl CPython 3.9 CPython 3.9 Linux musl 1.2+ x86-64 Details
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classixclustering-1.5.3-cp38-cp38-win32.whl CPython 3.8 CPython 3.8 Windows x86-32 Details
classixclustering-1.5.3-cp38-cp38-musllinux_1_2_x86_64.whl CPython 3.8 CPython 3.8 Linux musl 1.2+ x86-64 Details
classixclustering-1.5.3-cp38-cp38-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl CPython 3.8 CPython 3.8 Linux glibc 2.28+ x86-64, Linux glibc 2.24+ x86-64 Details
classixclustering-1.5.3-cp38-cp38-macosx_11_0_arm64.whl CPython 3.8 CPython 3.8 macOS 11.0+ ARM64 Details

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