sdols (version 2.0.0)

expectedPairwiseAllocationMatrix: Compute Expected Pairwise Allocation Matrix

Description

This function computes the n-by-n matrix whose (i,j) element gives the (estimated) expected number of times that i and j are in the same subset (i.e, cluster). This is the (estimated) probability that items are clustered together. These estimates are based on the frequencies from the supplied, randomly-sampled clusterings.

Usage

expectedPairwiseAllocationMatrix(x)

Arguments

x

A collection of clusterings as a B-by-n matrix, each of the B rows represents a clustering of n items using cluster labels. For clustering b, items i and j are in the same cluster if x[b,i] == x[b,j].

Value

A n-by-n symmetric matrix whose (i,j) elements gives the estimated expected number of times that items i and j are in the same subset (i.e, cluster) based on the frequencies from the supplied clusterings.

See Also

dlso, salso

Examples

# NOT RUN {
suppressWarnings({  # For testing purposes, suppress deprecation warning.

probabilities <- expectedPairwiseAllocationMatrix(iris.clusterings)

})

# }