exctract_center_position

dataframe (of dimension <code>n * p</code>).

data

vector (of length <code>n</code>) containing the cluster
allocations.

Cluster

String, indicated whether the center position should be
defined by the mean (use "<code>colMeans</code>") or the median of the cluster
(use any other string).

centPos

Extract the cluster centers coordinates

internal

Algorithms for (i) unsupervised learning for dataset with
missing data and/or left-censored data, using multiple imputation and
consensus clustering ; (ii) semi-supervised learning with a survival
endpoint (right-censored) for complete or incomplete datasets, using
multiple imputation and consensus clustering in the latter case. The
methods are described in Faucheux et al. (2021)
<doi:10.1002/bimj.201900366> and Faucheux et al. (2021)
<doi:10.1002/bimj.202000365>, respectively.

exctract_center_position: Extract the cluster centers coordinates

Description

Usage

Arguments

Value