adjust.mpear: Adjust MPEAR

Description Usage Arguments Details Value Author(s) References

View source: R/adjust.mpear.R

Description

adjust.mpear is modified the mcclust package to suit our model.

Usage

1
adjust.mpear(psm, method = "ward.D2", max.k = NULL)

Arguments

psm

is posterior similarity matrix with entries between 0 and 1 and 1's on the diagonals which is distance matrix.

method

is clustering method. We offer many kinds of method, like as kmeans and hierarchical clustering. The default is ward.D2 of hierarchical clustering.

max.k

is number with the user has the professional judgment to consider the max group and the default is NULL.

Details

adjust.mpear is modified the mcclust package to suit our model. And the function use distance matrix by criteria of MPEAR to cluster the data.

Value

cl is vector with the clustering result.

value is number with MPEAR.

method is clustering method.

Author(s)

Peter Wu (peter123wu0@gmail.com)

References

Fritsch, A. and Ickstadt, K. Improved criteria for clustering based on the posterior similarity matrix. Bayesian analysis 2009;4(2):367-391.


CSclone documentation built on May 2, 2019, 5:41 a.m.