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- function Z = projectData(X, U, K)
- %PROJECTDATA Computes the reduced data representation when projecting only
- %on to the top k eigenvectors
- % Z = projectData(X, U, K) computes the projection of
- % the normalized inputs X into the reduced dimensional space spanned by
- % the first K columns of U. It returns the projected examples in Z.
- %
- % You need to return the following variables correctly.
- Z = X * U(:,1:K);
- % ====================== YOUR CODE HERE ======================
- % Instructions: Compute the projection of the data using only the top K
- % eigenvectors in U (first K columns).
- % For the i-th example X(i,:), the projection on to the k-th
- % eigenvector is given as follows:
- % x = X(i, :)';
- % projection_k = x' * U(:, k);
- %
- % =============================================================
- end
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