optimalClustering: Clustering with the optimal parameters estimated by these...

In BioSok/omada: Machine learning tools for automated transcriptome clustering analysis

Clustering with the optimal parameters estimated by these tools

Description

Clustering with the optimal parameters estimated by these tools

Usage

optimalClustering(data, clusters, algorithm)

Arguments

data	A dataframe, where columns are features and rows are data points
clusters	Number of clusters to be generated by this clustering
algorithm	The clustering algorithm to be used

Value

An object of class "optimalClustering" containing a dataframe with the memberships of the samples found in the input data, the optimal stability score and parameter used

Examples

optimalClustering(toy_genes, 2,"kmeans")

BioSok/omada documentation built on Aug. 21, 2023, 2:38 p.m.