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- function X_rec = recoverData(Z, U, K)
- %RECOVERDATA Recovers an approximation of the original data when using the
- %projected data
- % X_rec = RECOVERDATA(Z, U, K) recovers an approximation the
- % original data that has been reduced to K dimensions. It returns the
- % approximate reconstruction in X_rec.
- %
- % You need to return the following variables correctly.
- X_rec = zeros(size(Z, 1), size(U, 1));
- % ====================== YOUR CODE HERE ======================
- % Instructions: Compute the approximation of the data by projecting back
- % onto the original space using the top K eigenvectors in U.
- %
- % For the i-th example Z(i,:), the (approximate)
- % recovered data for dimension j is given as follows:
- % v = Z(i, :)';
- % recovered_j = v' * U(j, 1:K)';
- %
- % Notice that U(j, 1:K) is a row vector.
- %
- U_reduce = U(:, 1: K);
- % U_reduce (nxk), Z(mxk)
- %
- X_rec= (U_reduce * Z')';
- % =============================================================
- end
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