Metadata-Version: 2.4
Name: entropy-spine
Version: 0.0.1
Summary: SPINE: Scale Partitioning by Incremental Nested Entropy. Name reservation; the Python implementation is under development.
Author-email: Abd AlRahman AlMomani <almomaniar@gmail.com>
License: MIT
Project-URL: Homepage, https://almomaa.github.io/entropy-spine/
Project-URL: Repository, https://github.com/almomaa/entropy-spine
Keywords: entropy,multiscale,scale separation,partitioning,outlier detection,information theory
Classifier: Development Status :: 1 - Planning
Classifier: Intended Audience :: Science/Research
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering :: Mathematics
Requires-Python: >=3.9
Description-Content-Type: text/markdown
License-File: LICENSE
Dynamic: license-file

# entropy-spine

**SPINE — Scale Partitioning by Incremental Nested Entropy**

SPINE takes a nonnegative measure over a collection of objects and cuts it into
scale strata. It finds where the collection separates into distinct scales, and
how strongly, without being told how many groups to look for and without a
detection threshold to tune.

This package name is reserved for the Python implementation, which is under
development against the published specification. Until it ships:

- **Reference implementation (MATLAB)**: https://github.com/almomaa/entropy-spine
- **Documentation and theory**: https://almomaa.github.io/entropy-spine/

The repository carries language-independent conformance fixtures and an
independent numerical oracle, so the Python implementation will be verified
against the same contract as the MATLAB reference.

## Author

Abd AlRahman AlMomani
Assistant Professor of Data Science and Mathematics
Embry-Riddle Aeronautical University, Arizona

## License

MIT
