Point estimate of the partition using the F-measure as the cost function.

Get a point estimate of the partition using the F-measure as the cost function.

Usage

cluster_est_Fmeasure(c, logposterior)

Arguments

c

a list of vector of length n. c[[j]][i] is the cluster allocation of observation i=1...n at iteration j=1...N.

logposterior

a vector of logposterior corresponding to each partition from c used to break ties when minimizing the cost function

Value

a list:

c_est:

a vector of length n. Point estimate of the partition

cost:

a vector of length N. cost[j] is the cost associated to partition c[[j]]

similarity:

matrix of size n x n. Similarity matrix (see similarityMat)

opt_ind:

the index of the optimal partition among the MCMC iterations.

See also

similarityMat

Author

Francois Caron, Boris Hejblum