Find features most associated with cluster membership — bff • vsp

Find features most associated with cluster membership

Usage

bff(loadings, features, num_best)

Arguments

loadings: An n by k matrix of weights that indicates how important that ith user is to the jth cluster, i.e., the Z or Y matrix calculated by vsp().
features: An n by d matrix of features measured for each node in the network.
num_best: An integer indicating how many of the top features for differentiating between loadings you want.

Value

An n by k matrix whose [i, j] entry is the ith "most important" feature for cluster j.

Details

See vignette("bff").