LICORS (version 0.2.0)

weight_matrix2states: Returns unique state assignment from a (row-wise) weight matrix

Description

Converts a probabilistic cluster assignment to a unique cluster assignment using the

'argmax' rule:

state of row \(i\) is assigned as the position of the maximum in that row (ties are broken at random).

'sample' rule

state of row \(i\) is sampled from the discrete distribution where probabilities equal the weight vector in row \(i\)

Usage

weight_matrix2states(weight.matrix, rule = c("argmax", "sample"))

Arguments

weight.matrix

an \(N \times K\) matrix

rule

how do we choose the state given the weight matrix. c("argmax", "sample").

See Also

states2weight_matrix

Examples

# NOT RUN {
WW <- matrix(runif(12), ncol = 3)
WW <- normalize(WW)
WW
weight_matrix2states(WW)
weight_matrix2states(WW, "sample")
# another 'sample' is in general different from previous conversion unless WW is
# a 0/1 matrix
weight_matrix2states(WW, "sample")
# }