NPflow (version 0.9.0)

cluster_est_pear: Gets a point estimate of the partition using posterior expected adjusted Rand index (PEAR)

Description

Gets a point estimate of the partition using posterior expected adjusted Rand index (PEAR)

Usage

cluster_est_pear(c)

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.

Value

• a list:
  • c_est:
  { a vector of length n. Point estimate of the partition}
• pear:
  a vector of length N. pear[j] is the posterior expected adjusted Rand index 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.

References

A. Fritsch, K. Ickstadt. Improved Criteria for Clustering Based on the Posterior Similarity Matrix, in Bayesian Analysis, Vol.4 : p.367-392 (2009)

See Also

similarityMat similarityMatC