run_kmeans_clustering: Run Kmeans

In NWhitener/benchmarking: Benchmarking Tools For Single Cell RNA Sequencing Datasets

Run Kmeans

Description

This function runs Kmeans Clustering. It uses the simple Kmeans algorithm with a max number of iterations set to be 100 by default. The number of clusters can be set by the users and defaults to 10 clusters. This is the R package stats implementation of Kmeans

Usage

run_kmeans_clustering(
  dataList,
  reductionType = "pca",
  numberClusters = 10,
  iterationsMax = 100,
  seed = 1
)

Arguments

dataList	A list of data sets to be clustered by Kmeans
reductionType	The type of dimensionly reduced data that should be used for clustering, defaults to PCA
numberClusters	The number of cluster centers to use, defaults to 10
iterationsMax	The max number of iterations that should be used in the kmeans algorithm, defaults to 100

Value

The dataList with kmeans clusters stored in the meta data

NWhitener/benchmarking documentation built on Oct. 23, 2023, 12:20 a.m.