(2) in these algorithms, the selected dimensions in each subspace are viewed as equally important to the corresponding cluster. However, in practical settings, the dimensions in each subspace are usually not uniformly important for the
relevant cluster, thus treating the dimensions uniformly encumbers us to find clusters of real shapes.