when data is larger than the principal components when space dimensionality is bigger than number of points, the principal component is max(n,d) what is reconstruction error when space dimensionality is larger than number of points, the maximum number of principal components is when space dimensionality is larger than number of points, the principal component is when is pca a principal error r reconstruction error when space dimensionality is larger than the number of points what is the pca error in r when space dimensionality is larger than number of data points, the reconstruction error of pca is correct. which of the following describes the construction of data that is a result of a principal component? when pca is larger than n the principal component is: how do i find the reconstruction error in r why is pca reconstruction error when space is larger than the number of data points and the principal component is bigger, reconstruction of data within the data set is still accurate. what is pca in data set when space dimensionality is larger than number of data points, reconstruction error of pca is used. when space dimensionality is larger than number of data points pca is correct when dimensionality is larger than the number of points when pca is larger than number of data points when n is bigger than d, the principal component can be used in reconstruction of the data within the data set quizlet