matlab fisher score

The Fisher score is a measure of feature importance used in feature selection. It is a statistical technique used to score the relevance of a feature based on the differences of the means and variances between classes.

In MATLAB, the Fisher score can be calculated using the `fscmrmr` function from the Bioinformatics Toolbox. This function calculates the Fisher score for each feature in a data set and returns a ranked list of features based on their score.

Here is an example code to use `fscmrmr`:

load fisheriris
X = meas;
Y = species;
fsc = fscmrmr(X,Y);

In this code, we load the iris dataset and extract the features into the `X` matrix and the labels into the `Y` vector. We then use `fscmrmr` to calculate the Fisher score for each feature and store the results in `fsc`. The output `fsc` is a struct that contains the ranked list of features based on their Fisher score.