data_norm = (data - repmat(min(data), size(data, 1), 1))./repmat(range(data), size(data, 1), 1);
时间: 2024-06-06 10:07:01 浏览: 9
This code normalizes the data using min-max normalization.
First, it subtracts the minimum value of each column from all the values in that column using `repmat(min(data), size(data, 1), 1)`. This creates a matrix of the same size as the original data matrix, where each row is the minimum value of each column.
Next, it divides each value by the range of that column using `repmat(range(data), size(data, 1), 1)`. This creates a matrix of the same size as the original data matrix, where each row is the range of each column.
Finally, it divides the original data matrix by the minimum value matrix and multiplies it with the range matrix to get the normalized data.
Overall, this code scales the data to a range between 0 and 1.
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