Allocation_Distance

dataset of dimension <code>n * p</code>.

Center coordinates of dimension <code>k * p</code>.

<code>Khorshidi et al., 2019</code>.

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.

Lilith Faucheux

doMIsaul

Allocation_Distance: Allocation Distance

Description

Usage

Arguments

Value