summary: summary of the clustering results

In PARSE: Model-Based Clustering with Regularization Methods for High-Dimensional Data

Description

Summary of the globally informative variables

Usage

summary(output, y, eps.diff = 1e-5)

Arguments

output	results from parse, apfp, apL1 or nopenalty functions. For the ‘nopenalty’ function, the ‘short.output’ should be FALSE.
y	data.
eps.diff	The lower bound of pairwise difference of two mean values. Any value lower than it is treated as 0.

Value

num.info	the number of globally informative variables
perc.info	the percentage of globally informative variables
info.name	the variable names of the globally informative variables, if the data have no variable name, 'info.name' is the index of the variable

Examples

y <- rbind(matrix(rnorm(120,0,1),ncol=4),
matrix(rnorm(120,4,1), ncol=4), matrix(rnorm(120,0,1),ncol=4))
output <- parse(K = c(1:2), lambda = c(0,1), y=y)
output$mu.hat.best
summary(output, y)

PARSE documentation built on May 2, 2019, 9:57 a.m.