Thus high dimensional data clustering needs to solve two separated problems: the first problem is the search for the relevant subspaces and the second problem is the detection of the final clusters.
Thus high dimensional data clustering needs to solve two separated problems: the first problem is the search for the relevant subspaces and the second problem is the detection of the final clusters.