ppclust_h: Clustering Algorithm to HDLSS data.

In rafaelslins/Rclust: Partitional Clustering High Dimensional Data Based on P-Values Using Parallel Processing

Description

Clustering Algorithm to HDLSS data.

Usage

ppclust_h(data, alpha, n.cores = 1, ...)

Arguments

data	A numeric matrix or data frame with all numeric columns. If a matrix or data frame, rows correspond to variables (d) and columns correspond to observations (n).
alpha	A real number in the range (0, 1) indicanting the threshold parameter to be compared with p-values in the clustering procedure.
n.cores	A number processor cores (see detectCores).
...	not used.

Value

Results

A vector of integers indicating the cluster to which each variable is allocated and a cluster cross table of P-values.

Examples

#data(diflogadenoma) # loads data
#cl <- ppclust_h(diflogadenoma[, 10:13], n.cores = 2)
#cl

rafaelslins/Rclust documentation built on May 4, 2020, 12:16 a.m.