nmi

Normalized Mutual information is based on the paper:
- Vinh.N.X Information Theoretic Measures for clustering comparison. Vinh 2010

This crate defines various quality measures of clustering based on information theory. They are normalized with value in the interval [0,1] and some are metrics.
It is also possible to compare different clustering and to quantify how the affectation to items of 2 algorithms are related. It relies on a contingency table.
The various measures are described in the contingency file.

We preferentially use get_nmi_sqrt()

The trait affectation is used to make the contingency table aware of of data versus label association.

License

Licensed under either of

• Apache License, Version 2.0, LICENSE-APACHE or http://www.apache.org/licenses/LICENSE-2.0
• MIT license LICENSE-MIT or http://opensource.org/licenses/MIT

at your option.