17 lines
613 B
Mathematica
17 lines
613 B
Mathematica
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% implements Param_Est, returns the number of eigenvectors needed to
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% explain 90% of the variance in the data, and displays a plot where the
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% x-axis is the number of eigenvectors and the y-axis is the percentage of
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% variance explained.
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function [neigenvectors] = ProportionOfVariance(training_data)
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% stack data
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data = vertcat(training_data);
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% TODO: perform PCA
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% TODO: compute proportion of variance explained
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% TODO: show figure of proportion of variance explained where the x-axis is the number of eigenvectors and the y-axis is the percentage of
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% variance explained
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end % Function end
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