preprocess

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

Providing mean partition for ensemble clustering by optimal transport alignment(OTA), uncertainty measures for both partition-wise and cluster-wise assessment and multiple visualization functions to show uncertainty, for instance, membership heat map and plot of covering point set. A partition refers to an overall clustering result. Jia Li, Beomseok Seo, and Lin Lin (2019) <doi:10.1002/sam.11418>. Lixiang Zhang, Lin Lin, and Jia Li (2020) <doi:10.1093/bioinformatics/btaa165>.

Lixiang Zhang

OTclust

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

Beomseok Seo

Lin Lin

Jia Li

preprocess function

<dl><dt>data</dt>
<dd>-- data that needs to be processed</dd>
<dt>l</dt>
<dd>-- logical. If True, log-transformation will be carried out on the data.</dd>
<dt>pre</dt>
<dd>-- logical. If True, pre-dimension reduction will be carried out based on the variance.</dd></dl>

Arguments

Data preprocessing — preprocess

<dl>

<dt>data</dt>
<dd>-- data that needs to be processed</dd>


<dt>l</dt>
<dd>-- logical. If True, log-transformation will be carried out on the data.</dd>


<dt>pre</dt>
<dd>-- logical. If True, pre-dimension reduction will be carried out based on the variance.</dd>

</dl>

preprocess: Data preprocessing

Description

Usage

Value

Arguments

Examples