bff: Find features most associated with cluster membership
In vsp: Vintage Sparse PCA for Semi-Parametric Factor Analysis
bff R Documentation
Find features most associated with cluster membership
Description
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.
Details
See vignette("bff").
Value
An n by k matrix whose [i, j] entry is the
ith "most important" feature for cluster j.
vsp documentation built on April 17, 2026, 1:07 a.m.
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| bff | R Documentation |
Find features most associated with cluster membership
Description
Find features most associated with cluster membership
Usage
bff(loadings, features, num_best)
Arguments
loadings |
An |
features |
An |
num_best |
An integer indicating how many of the top features for differentiating between loadings you want. |
Details
See vignette("bff").
Value
An n by k matrix whose [i, j] entry is the
ith "most important" feature for cluster j.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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