DhanujG/weightedClustSuite
Weighted Point Density Clustering and Validation Suite

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plotTSNE: Plot observations using t-distributed neighbor embedding and...

plotTSNE: Plot observations using t-distributed neighbor embedding and...
In DhanujG/weightedClustSuite: Weighted Point Density Clustering and Validation Suite

Description Usage Examples

View source: R/weightedClustSuite.R

Description

Plot observations using t-distributed neighbor embedding and colour by cluster

Usage

1
plotTSNE(x, ...)

Examples

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irisDist <- dist(iris[,1:4])
irisClust <- ClustObj(irisDist, gaussian=TRUE)
plot(irisClust) # Inspect clustering attributes to define thresholds

irisClust <- findDensityPeakClusters(irisClust, rho=2, delta=2)
plotTSNE(irisClust)
split(iris[,5], irisClust$clusters)

DhanujG/weightedClustSuite documentation built on March 3, 2021, 12:29 a.m.

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