doCluster: do Unsupervised Clustering using kNN-graph

Description Usage Arguments Examples

Description

do Unsupervised Clustering using kNN-graph

Usage

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doCluster(vat, analysis.key = "PCA", pc.num = 50,
  cluster.name = "cluster", k = 100, dist.type = "euclidean",
  save.KNN = TRUE, verbose = TRUE, ...)

Arguments

vat

vat entity

analysis.key

analysis.key for clustering

pc.num

PC components for clustering

cluster.name

cell.props's column name saving cluster results

k

k-nearest graph's value, default 100, if 0, then set k = floor(sqrt(nrow(cells))/2)

dist.type

default "euclidean"

save.KNN

whether or not saving kN, default TRUE (no implemented)

verbose

whether or not printing verbose, default TRUE

Examples

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vat <- doCluster(vat)

HuobinTan/scVAT documentation built on May 31, 2019, 2:20 p.m.