getNMI(A,B)
call:
NMI = getNMI(A,B)
This function computes the Normalized Mutual Information (NMI) between
2 modular partitions or community structures given in vectors A and B.
NMI is a measure of the similarity between the two graph partitions, and
its interpretation follows that of canonical Mutual Information, i.e.
assuming that I have complete knowledge of partition A, how much knowledge
can I get, from A, about partition B? If A and B are identical, then
NMI = 1, whereas if A and B are independent, NMI --> 0.
INPUT
A : Community partition of graph A *
B : Community partition of graph B *
* A and B are N-length vectors, where each i-th element is the integer
labeling the k-th community to which node i-th was assigned.
OUTPUT
NMI : Normalized Mutual Information
References:
[1] Kuncheva & Hadjitodorov, 2004, IEEE Intern. Conf. on Syst. Man and Cybern.
[2] Alexander-Bloch et al., 2012, NeuroImage
Zitieren als
Ruggero G. Bettinardi (2024). getNMI(A,B) (https://www.mathworks.com/matlabcentral/fileexchange/62974-getnmi-a-b), MATLAB Central File Exchange. Abgerufen .
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Version | Veröffentlicht | Versionshinweise | |
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1.0.0.0 |