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
Metadata
Release files for entropy-spine 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| entropy_spine-0.0.1.tar.gz | 3.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| entropy_spine-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 6.3 kB
Release files / entropy_spine-0.0.1.tar.gz
| Download URL | entropy_spine-0.0.1.tar.gz |
|---|---|
| Size | 3.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
c656af2af20251a2800d67b78936fc5f9450c14819c9a2e972909b01fe193386
|
|
BLAKE2b-256 checksum How to use checksums |
735437f9acd1f9d24bd09dc69bcfb6e1510945e338a530dca18a2926e41810c3
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Release files / entropy_spine-0.0.1-py3-none-any.whl
| Download URL | entropy_spine-0.0.1-py3-none-any.whl |
|---|---|
| Size | 3.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
ea38c9bf431e623f18b54547a7aa4bc992b6e8cb1e9f1849f4d36a92951e5447
|
|
BLAKE2b-256 checksum How to use checksums |
b899ccee81271f04dd6cddfbed73cc8ced0df8dcfcac5642fb56e5e4a865a751
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|