components (or cluster centers)-- -means uses only single cluster center per image an interesting aspect of vector quantization using -means is that we can use many more clusters than input dimensions to encode our data let' go back to the two_moons data using pca or nmfthere is nothing much we can do to this dataas it lives in only two dimensions reducing it to one dimension with pca or nmf would completely destroy the structure of the data but we can find more expressive representation with -meansby using more cluster centers (see figure - )clustering