cluster_est_Fmeasure: Point estimate of the partition using the F-measure as the...

In borishejblum/NPflow: Bayesian Nonparametrics for Automatic Gating of Flow-Cytometry Data

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

Description

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.

Author(s)

Francois Caron, Boris Hejblum

See Also

similarityMat

borishejblum/NPflow documentation built on Feb. 2, 2024, 1:51 a.m.