Skip to main content

Dynamix Membership Mixture Models

Project description

dynMix

This is a Python package focused on clustering and mixture models and is being developed as part of my master's dissertation. The objective is to include various routines for dealing with clustering time-series data, including a dynamic clustering option, which is being proposed in my dissertation.

It is currently undergoing development with a lot of changes and may contain errors. However, at your own risk, you may install and use the software through PyPi: pip install dynmix

The project is subject to the terms of the Mozilla Public License, v. 2.0. See the LICENSE file in the root of the repository for further details.

Copyright © Victhor S. Sartório. All rights reserved.

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

dynmix-1.1.2.tar.gz (16.7 kB view details)

Uploaded Source

File details

Details for the file dynmix-1.1.2.tar.gz.

File metadata

  • Download URL: dynmix-1.1.2.tar.gz
  • Upload date:
  • Size: 16.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.7.4

File hashes

Hashes for dynmix-1.1.2.tar.gz
Algorithm Hash digest
SHA256 3c0177ab69c05c0dfa7c449dfe72e5681d0c6a3344efc4bbb3511db22686d5bc
MD5 e33df52f7ba7325c74bf68cd966e445f
BLAKE2b-256 e01d9032e7bf91b4bf221297fa7be96d8dd9fda757ab04912bf41dfdd5e0567e

See more details on using hashes here.

Supported by

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