What is the difference between Multivariate Entropies and Bidimensional Entropies? I have to find the entropy for EEG signals with shape (Channels, Timepoints). Which one would be better? #12
If you are working with EEG data 🧠 , then the multivariate entropies are the methods you should use 👍🏼
You should pass your data in the form of an NxM matrix, where N (rows) is number of EEG samples and M (columns) are the EEG channels.
Bidimensional entropies are used for univariate data in the form of a 2D matrix (e.g. image data), not multivariate data.
Hi @AashishKhilnani 🙂,
If you are working with EEG data 🧠 , then the multivariate entropies are the methods you should use 👍🏼 You should pass your data in the form of an NxM matrix, where N (rows) is number of EEG samples and M (columns) are the EEG channels.
Bidimensional entropies are used for univariate data in the form of a 2D matrix (e.g. image data), not multivariate data.
Hope this helps! 👍🏼 🙃