which of the following can be used to identify features corresponding to high individual or principal component values? what is the difference between pca and svd what type of features does matlab use what is the matrix vector s in matlab what is the function matrix of the matrix that gives the principal variable how can s be used to obtain a subset of features what is the principal component of pca in matlab why is pca used in matlab identifie features corresponding to high singular/principal component values which of these vectors is an example of a feature that best describes a feature? how to find features of high singular/principal value in MATLAB what is the function of the characteristic vector in pca? which feature is associated with principal component values in matlab how can principal variable be used in matlab what type of matrix is used to find features corresponding to the highest singular-principal component values? how can the feature of a column vector be used to obtain a subset of features that best describe the data? what is the difference between svd and pca what is matrix a svd which matrix is used to identify features corresponding to high singular/principal component values in matlab what is the matrix pca and svd used for in math