tedana.utils.dice

dice(arr1, arr2, axis=None)

Compute Dice’s similarity index between two numpy arrays.

Arrays will be binarized before comparison.

This method was first proposed in Dice[1] and Sorensen[2].

Parameters:

• arr1, arr2 (array_like) – Input arrays, arrays to binarize and compare.

• axis (None or int, optional) – Axis along which the DSIs are computed. The default is to compute the DSI of the flattened arrays.

Returns:

dsi (float) – Dice-Sorenson index.

Notes

This implementation was based on https://gist.github.com/brunodoamaral/e130b4e97aa4ebc468225b7ce39b3137.

References

[1]

Lee R Dice. Measures of the amount of ecologic association between species. Ecology, 26(3):297–302, 1945. URL: https://doi.org/10.2307/1932409, doi:10.2307/1932409.

[2]

Th A Sorensen. A method of establishing groups of equal amplitude in plant sociology based on similarity of species content and its application to analyses of the vegetation on danish commons. Biol. Skar., 5:1–34, 1948.