Skip to main content

A Python package for multiview unsupervised clustering

Project description

mvcluster

A Python package for multiview unsupervised clustering.

Installation

pip install mvcluster

Usage

from mvcluster import core

If you use this code please do cite :

@inproceedings{fettal2022efficient,
  author = {Fettal, Chakib and Labiod, Lazhar and Nadif, Mohamed},
  title = {Simultaneous Linear Multi-view Attributed Graph Representation Learning and Clustering},
  year = {2023},
  publisher = {Association for Computing Machinery},
  doi = {10.1145/3539597.3570367},
  booktitle = {Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining}
}

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

mvcluster-1.10.tar.gz (9.5 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

mvcluster-1.10-py3-none-any.whl (11.6 kB view details)

Uploaded Python 3

File details

Details for the file mvcluster-1.10.tar.gz.

File metadata

  • Download URL: mvcluster-1.10.tar.gz
  • Upload date:
  • Size: 9.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.9.22

File hashes

Hashes for mvcluster-1.10.tar.gz
Algorithm Hash digest
SHA256 87c92c21077d649b420682042a53c509b5ed3ffbc5d89df26ce13140babc0135
MD5 0696f14ea7917e8f163b5c1d37716634
BLAKE2b-256 25eb56c57f91e8c78b945b1eb5305dfc4a8ba6bd3dc7eb46bb04a7c83626a77d

See more details on using hashes here.

File details

Details for the file mvcluster-1.10-py3-none-any.whl.

File metadata

  • Download URL: mvcluster-1.10-py3-none-any.whl
  • Upload date:
  • Size: 11.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.9.22

File hashes

Hashes for mvcluster-1.10-py3-none-any.whl
Algorithm Hash digest
SHA256 1b085ee755b5af7a159ffa3fbea46c0ed1c8fc40216899b2380537be05245dda
MD5 7229507d07257044a77fb4c042d8ab1f
BLAKE2b-256 539590d57e314ffc6e818c664da731d86a7d06de79fda70c2009e3ceb70b247d

See more details on using hashes here.

Supported by

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