how to remove outliers in matlab

One common method to remove outliers from data is the z-score method. Here's how you can implement it in Matlab:

main.m
% create sample data with outliers
data = [1 2 3 4 5 1000];

% calculate z-scores for each data point
z_scores = abs(zscore(data));

% identify outliers as data points with z-score > 3
outliers = data(z_scores > 3);

% remove outliers from data
data_clean = data(z_scores <= 3);
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In this code, we first create a sample dataset with outliers. We then calculate the z-scores for each data point using the zscore function. We identify outliers as any data point with a z-score greater than 3 (a common threshold). Finally, we remove the outliers from the original data by selecting only the data points with z-score less than or equal to 3.

Note that this is just one method for identifying and removing outliers, and there are others that may be more appropriate for certain types of data.