plotTSNE | R Documentation |
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.
plotTSNE(x, ...)
x |
A densityCluster object as produced by |
... |
Additional parameters. Currently ignored |
densityClust()
for creating densityCluster
objects, and plotMDS()
for an alternative plotting approach.
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)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.