kmeanspp

Performs the k-means++ algorithm to cluster the rows of the input matrix.

Implementation of the scregclust algorithm
described in Larsson, Held, et al. (2024) <doi:10.1038/s41467-024-53954-3>
which reconstructs regulatory programs of target genes in scRNA-seq data.
Target genes are clustered into modules and each module is associated with a linear
model describing the regulatory program.

Felix Held

scregclust

Reconstructing the Regulatory Programs of Target Genes in
scRNA-Seq Data

Ida Larsson

Sven Nelander

André Armatowski

kmeanspp function

<dl><dt>x</dt>
<dd>Input matrix (n x p)</dd>
<dt>n_cluster</dt>
<dd>Number of clusters</dd>
<dt>n_init_clusterings</dt>
<dd>Number of repeated random initializations
to perform</dd>
<dt>n_max_iter</dt>
<dd>Number of maximum iterations to perform in the k-means
algorithm</dd></dl>

Arguments

Perform the k-means++ algorithm — kmeanspp

<dl>

<dt>x</dt>
<dd>Input matrix (n x p)</dd>


<dt>n_cluster</dt>
<dd>Number of clusters</dd>


<dt>n_init_clusterings</dt>
<dd>Number of repeated random initializations
to perform</dd>


<dt>n_max_iter</dt>
<dd>Number of maximum iterations to perform in the k-means
algorithm</dd>

</dl>

kmeanspp: Perform the k-means++ algorithm

Description

Usage

Value

Arguments

Details

References