ADPclust (version 0.7)

FindClustersManual: User-interactive routine to find clusters

Description

Plot the f vs. delta plot, then wait for the user to select centers of clusters by left clicking the points. In general points with both large f and large delta are good candidates of cluster centroids. Selected centers are highlighted. Press ESC to end the selection.

Usage

FindClustersManual(distm, f, delta)

Arguments

distm

distance matrix.

f

vector of local densities f(x). Same length of the number of observations.

delta

vector of distances to the closest high ground delta(x). Same length of the number of observations.

Value

a list of the following items:

• clusters Cluster assignments. A vector of the same length as the number of observations.
• centers: Indices of the clustering centers.
• silhouette: Silhouette score from the final clustering result.
• nclust: Number of clusters.

Examples

data(clust3)
distm <- FindDistm(clust3, normalize = TRUE)
## Not run: 
# fd <- FindFD(distm, 2, "mnorm")
# ans <- FindClustersManual(distm, fd$f, fd$delta)
# names(ans)
# ans$centers
# ## End(Not run)