Skip to main content

Dense Clustering for Mixed Data Types

Project description

Amazon DenseClus

build PyPI version PyPI - Python Version PyPI - Wheel PyPI - License Code style: black Github Super-Linter

DenseClus is a Python module for clustering mixed type data using UMAP and HDBSCAN. Allowing for both categorical and numerical data, DenseClus makes it possible to incorporate all features in clustering.

Installation

python3 -m pip install Amazon-DenseClus

Usage

DenseClus requires a Panda's dataframe as input with both numerical and categorical columns. All preprocessing and extraction are done under the hood, just call fit and then retrieve the clusters!

from denseclus import DenseClus

clf = DenseClus(
    umap_combine_method="intersection_union_mapper",
)
clf.fit(df)

print(clf.score())

Examples

A hands-on example with an overview of how to use is currently available in the form of a Jupyter Notebook.

References

@article{mcinnes2018umap-software,
  title={UMAP: Uniform Manifold Approximation and Projection},
  author={McInnes, Leland and Healy, John and Saul, Nathaniel and Grossberger, Lukas},
  journal={The Journal of Open Source Software},
  volume={3},
  number={29},
  pages={861},
  year={2018}
}
@article{mcinnes2017hdbscan,
  title={hdbscan: Hierarchical density based clustering},
  author={McInnes, Leland and Healy, John and Astels, Steve},
  journal={The Journal of Open Source Software},
  volume={2},
  number={11},
  pages={205},
  year={2017}
}

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

Amazon DenseClus-0.0.8.tar.gz (1.9 MB view hashes)

Uploaded source

Built Distribution

Amazon_DenseClus-0.0.8-py3-none-any.whl (6.6 kB view hashes)

Uploaded py3

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page