Skip to main content

Python wrapper for calculating the geometrical separability index (gsi)

Project description

Geometrical Separability Index (GSI)

This is a python wrapper of the Geometrical Separability Index (GSI) based on the MATLAB code proposed in [1] and originally proposed by Chris Thornton in [2].

[1] Greene, J. (2001). Feature subset selection using thornton’s separability index and its applicability to a number of sparse proximity-based classifiers. In Proceedings of Annual Symposium of the Pattern Recognition Association of South Africa.

[2] Thornton, C. (1998). Separability is a learner’s best friend. In 4th Neural Computation and Psychology Workshop, London, 9–11 April 1997 (pp. 40-46). Springer, London.


Run the following to install:

pip install gsindex


import numpy as np
from gsindex import geometrical_separability_index

matrix = np.array([[1, 2], [3, 4], [5, 6], [7, 8], [10, 11], [12, 13], [14, 15], [16, 17]])
labels = np.array(['sample1', 'sample1', 'sample1', 'sample1', 'sample2', 'sample2', 'sample2', 'sample2'])

gsi = geometrical_separability_index(matrix, labels)


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

gsindex-0.1.0.tar.gz (6.4 kB view hashes)

Uploaded Source

Built Distribution

gsindex-0.1.0-py3-none-any.whl (3.3 kB view hashes)

Uploaded Python 3

Supported by

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