Skip to main content

Mixture modeling algorithms using the Student's t-distribution

Project description

studenttmixture

Mixtures of multivariate Student's t distributions are widely used for clustering data that may contain outliers, but scipy and scikit-learn do not at present offer classes for fitting Student's t mixture models. This package provides classes for:

  1. Modeling / clustering a dataset using a finite mixture of multivariate Student's t distributions;
  2. Modeling / clustering a dataset using an infinite mixture of Student's t- distributions (a Dirichlet process; fit using a variational approximation).

(1) is available in version 0.0.1.1, (2) will come in version 0.0.2.

Installation

pip install studenttmixture

Usage

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

studenttmixture-0.0.1.3.tar.gz (7.9 kB view details)

Uploaded Source

Built Distribution

studenttmixture-0.0.1.3-py3-none-any.whl (9.3 kB view details)

Uploaded Python 3

File details

Details for the file studenttmixture-0.0.1.3.tar.gz.

File metadata

  • Download URL: studenttmixture-0.0.1.3.tar.gz
  • Upload date:
  • Size: 7.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/3.10.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.8.5

File hashes

Hashes for studenttmixture-0.0.1.3.tar.gz
Algorithm Hash digest
SHA256 3a5bca1f8e0ebb379f9a7d86b741da1f1c46a79c2cbc531e99ba18b3bcd4262d
MD5 ced0a5b17d633f783f3f1db18d736e9a
BLAKE2b-256 543cec8b7dbb2caa3d9ad1d89ebdc2ba842946b6b9d122d92b87045d8e385886

See more details on using hashes here.

File details

Details for the file studenttmixture-0.0.1.3-py3-none-any.whl.

File metadata

  • Download URL: studenttmixture-0.0.1.3-py3-none-any.whl
  • Upload date:
  • Size: 9.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/3.10.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.8.5

File hashes

Hashes for studenttmixture-0.0.1.3-py3-none-any.whl
Algorithm Hash digest
SHA256 37d380ff1ecff493f61eda92c685335668dbf873984774bc100ed675dcd53913
MD5 6d531b169b38b323d954eca61ccd154d
BLAKE2b-256 819ad14654ff0371818e4dacb1b6e74754a2a40ee78e9250837c07494332b1c0

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