preprocess: Data preprocessing

In OTclust: Mean Partition, Uncertainty Assessment, Cluster Validation and Visualization Selection for Cluster Analysis

Data preprocessing

Description

Preprocessing for dimension reduction based on variance, it will delete the variable whose variance is smaller than 0.5*mean variance of all variables.

Usage

preprocess(data, l = TRUE, pre = TRUE)

Arguments

data	– data that needs to be processed
l	– logical. If True, log-transformation will be carried out on the data.
pre	– logical. If True, pre-dimension reduction will be carried out based on the variance.

Value

the processed data.

Examples

data(YAN)
preprocess(YAN,l=FALSE,pre=TRUE)

OTclust documentation built on Oct. 6, 2023, 5:09 p.m.