The first set of experiments focuses on understanding the behaviour of our methodology within a greedy search strategy for different tunable parameters defined as a tuple < p, K, S(W ik , W jl ) >.
p is the size of the word feature vectors representing both Web snippets and centroids (p = 2..5), K is the number of clusters to be found (K = 2..10) and S(W ik , W jl ) is the collocation measure integrated in the InfoSimba similarity measure.