Metadata-Version: 2.4
Name: dimc-toolkit
Version: 1.0.1
Summary: Deep Incomplete Multi-view Clustering (DIMC): A Python implementation of graph-regularized deep semantic mapping for clustering incomplete multi-view data.
Author: Suchibrata Patra
Project-URL: Homepage, https://github.com/suchibrata/dimc-toolkit
Project-URL: Repository, https://github.com/suchibrata/dimc-toolkit
Project-URL: Documentation, https://github.com/suchibrata/dimc-toolkit
Project-URL: Issues, https://github.com/suchibrata/dimc-toolkit/issues
Keywords: deep learning,multi-view clustering,incomplete multi-view clustering,deep semantic mapping,graph regularization,representation learning,matrix factorization,unsupervised learning,machine learning,pytorch
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Requires-Python: >=3.9
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy>=1.23
Requires-Dist: scipy>=1.10
Requires-Dist: scikit-learn>=1.3
Requires-Dist: torch>=2.0
Requires-Dist: tqdm>=4.66
Dynamic: license-file
