alvarado: @ADD: The lti::multiclassNormalizedCuts functor implements the k-class normalized cuts algorithms used to optimally split a graph into k disconnected subgraphs proposed by Stella Yu in her Ph.D thesis. It requires as input the affinity matrix, which encodes the similarity between two nodes and returns a labels vector, which contains the label assignments for each node.