plot.adpclust: Visualize the result of adpclust()

In ethanyxu/ADPclust: Fast Clustering Using Adaptive Density Peak Detection

Visualize the result of adpclust()

Description

Plot the f vs. delta plot with selected centroids.

Usage

## S3 method for class 'adpclust'
plot(x, cols = "default", to.plot = c("cluster.sil", "fd"), ...)

Arguments

x	an object of class "adpclust". Result of adpclust().
cols	vector of colors used to distinguish different clusters. Recycled if necessary.
to.plot	string vector that indicate which plot(s) to show. The two options are 'cluster.sil' (nclust vs. silhouette) and 'fd' (f vs. delta).
...	Not used.

Examples

## Load a data set with 3 clusters
data(clust3)
## Automatically select cluster centroids
ans <- adpclust(clust3, centroids = "auto")
plot(ans)
plot(ans, to.plot = "fd")
plot(ans, to.plot = "cluster.sil")
plot(ans, to.plot = c("cluster.sil", "fd")) #Default

ethanyxu/ADPclust documentation built on June 3, 2022, 12:38 p.m.