Skip to main content

A Framework for Benchmarking Clustering Algorithms

Project description

A Framework for Benchmarking Clustering Algorithms

Maintained/edited/authored by Marek Gagolewski.

This project aims to:

  • aggregate, polish, and standardise the existing clustering benchmark batteries referred to across the machine learning and data mining literature,
  • introduce new datasets of different dimensionalities, sizes, and cluster types,
  • propose a consistent methodology for evaluating clustering algorithms.

See https://clustering-benchmarks.gagolewski.com/ for more details.

How to cite: Gagolewski M., A framework for benchmarking clustering algorithms, SoftwareX 20, 2022, 101270, https://clustering-benchmarks.gagolewski.com, DOI: 10.1016/j.softx.2022.101270.

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

clustering_benchmarks-1.1.6.tar.gz (24.3 kB view details)

Uploaded Source

Built Distribution

clustering_benchmarks-1.1.6-py3-none-any.whl (28.9 kB view details)

Uploaded Python 3

File details

Details for the file clustering_benchmarks-1.1.6.tar.gz.

File metadata

  • Download URL: clustering_benchmarks-1.1.6.tar.gz
  • Upload date:
  • Size: 24.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.11.11

File hashes

Hashes for clustering_benchmarks-1.1.6.tar.gz
Algorithm Hash digest
SHA256 8c3ac0aed7c4c4925df6e5000db29aed6359341bd1ef2e516f230e13d8b66a0c
MD5 7ab4d17f21efea9ca27012c61e8262e1
BLAKE2b-256 e98ae7b11d3566106a253b58d76dac43babf481a298edaf72d7d3eaa17e24200

See more details on using hashes here.

File details

Details for the file clustering_benchmarks-1.1.6-py3-none-any.whl.

File metadata

File hashes

Hashes for clustering_benchmarks-1.1.6-py3-none-any.whl
Algorithm Hash digest
SHA256 6b35513d3dba47cb7fde5ec77bc7a6491dd1fcfb7226230285c4b7f77df60b34
MD5 2dea4cb738a9530cdc71488457047594
BLAKE2b-256 3650b982001d0ef3fd866c5cd669f937eb45296a73b2a755db179d167e8c4a96

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page