EstClusters: Estimate the optimal number of clusters C for clustering

In QinglinMei/RCSL: Rank Constrained Similarity Learning for single cell RNA sequencing data

Estimate the optimal number of clusters C for clustering

Description

Estimate the optimal number of clusters C for clustering

Usage

EstClusters(drData, S)

Arguments

drData	gene expression matrix after PCA processing
S	the calculated similarity matrix S from "SimS"

Value

C the estimated number of clusters

Examples

gfData <- GenesFilter(yan)
res_SimS <- SimS(gfData)
EstClusters(res_SimS$drData,res_SimS$S)

QinglinMei/RCSL documentation built on Feb. 16, 2024, 2:31 a.m.