Metadata-Version: 2.1
Name: interdim
Version: 0.2.3
Summary: Interactive Dimensionality Reduction, Clustering, and Visualization
Author-email: Matthew Shinkle <matthewshinkle@gmail.com>
License: BSD-3-Clause
Project-URL: Homepage, https://github.com/MShinkle/interdim
Project-URL: Bug Tracker, https://github.com/MShinkle/interdim/issues
Keywords: dimensionality reduction,clustering,visualization,machine learning,data analysis
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: OS Independent
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Visualization
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy
Requires-Dist: scikit-learn
Requires-Dist: plotly
Requires-Dist: dash
Provides-Extra: umap
Requires-Dist: umap-learn; extra == "umap"
Provides-Extra: hdbscan
Requires-Dist: hdbscan; extra == "hdbscan"
Provides-Extra: test
Requires-Dist: pytest; extra == "test"
Provides-Extra: all
Requires-Dist: umap-learn; extra == "all"
Requires-Dist: hdbscan; extra == "all"

# InterDim
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<!-- ![Python Versions](https://img.shields.io/pypi/pyversions/interdim.svg) -->
[![License](https://img.shields.io/badge/license-BSD--3--Clause-blue.svg)](https://opensource.org/licenses/BSD-3-Clause)
[![Docs](https://img.shields.io/badge/docs-GitHub%20Pages-blue.svg)](https://MShinkle.github.io/interdim)

### Interactive Dimensionality Reduction, Clustering, and Visualization

InterDim is a Python package for interactive exploration of latent data dimensions. It wraps existing tools for dimensionality reduction, clustering, and data visualization in a streamlined interface.

Code: [github.com/MShinkle/interdim](https://github.com/MShinkle/interdim)

API Documentation: [mshinkle.github.io/interdim](https://mshinkle.github.io/interdim)
