wassDist

This function calculates Wasserstein distance between two partitions.

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

wassDist function

<dl><dt>x, y</dt>
<dd>-- vectors of cluster labels</dd></dl>

Arguments

Wasserstein distance between two partitions. — wassDist

<dl>

<dt>x, y</dt>
<dd>-- vectors of cluster labels</dd>

</dl>

wassDist: Wasserstein distance between two partitions.

Description

Usage

Value

Arguments

Examples