Calculate weights for members of a cluster using selection proportions
getClustWeights.RdGiven a cluster of features, the selection proportions for each cluster member, and a specified weighting scheme, calculate the appropriate weights for the cluster.
Arguments
- cluster_i
An integer vector containing the indices of the members of a cluster.
- weighting
Character; determines how to calculate the weights for individual features within the selected clusters. Only those features with nonzero weight within the selected clusters will be returned. Must be one of "sparse", "weighted_avg", or "simple_avg'. For "sparse", all the weight is put on the most frequently selected individual cluster member (or divided equally among all the clusters that are tied for the top selection proportion if there is a tie). For "weighted_avg", only the features within a selected cluster that were themselves selected on at least one subsample will have nonzero weight. For "simple_avg", each cluster member gets equal weight regardless of the individual feature selection proportions (that is, all cluster members within each selected cluster will be returned.). See Faletto and Bien (2022) for details.
- feat_sel_props
A numeric vector of selection proportions corresponding to each of the p features.