You cannot select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
37 lines
939 B
Matlab
37 lines
939 B
Matlab
function [mu sigma2] = estimateGaussian(X)
|
|
%ESTIMATEGAUSSIAN This function estimates the parameters of a
|
|
%Gaussian distribution using the data in X
|
|
% [mu sigma2] = estimateGaussian(X),
|
|
% The input X is the dataset with each n-dimensional data point in one row
|
|
% The output is an n-dimensional vector mu, the mean of the data set
|
|
% and the variances sigma^2, an n x 1 vector
|
|
%
|
|
|
|
% Useful variables
|
|
[m, n] = size(X);
|
|
|
|
% You should return these values correctly
|
|
mu = zeros(n, 1);
|
|
sigma2 = zeros(n, 1);
|
|
|
|
% ====================== YOUR CODE HERE ======================
|
|
% Instructions: Compute the mean of the data and the variances
|
|
% In particular, mu(i) should contain the mean of
|
|
% the data for the i-th feature and sigma2(i)
|
|
% should contain variance of the i-th feature.
|
|
%
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
% =============================================================
|
|
|
|
|
|
end
|