plotTSNE {densityClust} | R Documentation |
Plot observations using t-distributed neighbor embedding and colour by cluster
Description
This function produces an t-SNE scatterplot based on the distance matrix of the densityCluster object (if there is only the coordinates information, a distance matrix will be calculate first), and, if clusters are defined, colours each observation according to cluster affiliation. Observations belonging to a cluster core is plotted with filled circles and observations belonging to the halo with hollow circles.
Usage
plotTSNE(x, ...)
Arguments
x |
A densityCluster object as produced by |
... |
Additional parameters. Currently ignored |
See Also
densityClust()
for creating densityCluster
objects, and plotMDS()
for an alternative plotting approach.
Examples
irisDist <- dist(iris[,1:4])
irisClust <- densityClust(irisDist, gaussian=TRUE)
plot(irisClust) # Inspect clustering attributes to define thresholds
irisClust <- findClusters(irisClust, rho=2, delta=2)
plotTSNE(irisClust)
split(iris[,5], irisClust$clusters)
[Package densityClust version 0.3.3 Index]