| adjust.mpear {CSclone} | R Documentation |
Adjust MPEAR
Description
adjust.mpear is modified the mcclust package to suit our model.
Usage
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.