R: Point estimate of the partition for the Binder loss function

cluster_est_binder {NPflow} | R Documentation

## Point estimate of the partition for the Binder loss function

### Description

Get a point estimate of the partition using the Binder loss function.

### Usage

    cluster_est_binder(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` | 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

### References

F Caron, YW Teh, TB Murphy, Bayesian nonparametric Plackett-Luce models for the analysis of preferences for college degree programmes, Annals of Applied Statistics, 8(2):1145-1181, 2014.

DB Dahl, Model-Based Clustering for Expression Data via a Dirichlet Process Mixture Model, Bayesian Inference for Gene Expression and Proteomics, K-A Do, P Muller, M Vannucci (Eds.), Cambridge University Press, 2006.

### See Also

`similarityMat` `similarityMatC`

[Package NPflow version 0.13.3 Index]