scl_recluster: scl_reccluster

scl_reclusterR Documentation

scl_reccluster

Description

Re-cut a spatial cluster tree (scl) at a different number of clusters.

Usage

scl_recluster(scl, ncl, shortest = TRUE, quiet = FALSE)

Arguments

scl

An scl object returned from scl_redcap.

ncl

Desired number of clusters. See description of 'ncl_iterate' parameter for conditions under which actual number may be less than this value.

shortest

If TRUE, the dmat is interpreted as distances such that lower values are preferentially selected; if FALSE, then higher values of dmat are interpreted to indicate stronger relationships, as is the case for example with covariances.

quiet

If 'FALSE' (default), display progress information on screen.

Value

Modified scl object in which tree is re-cut into ncl clusters.

See Also

Other clustering_fns: scl_full(), scl_redcap()

Examples

n <- 100
xy <- matrix (runif (2 * n), ncol = 2)
dmat <- matrix (runif (n^2), ncol = n)
scl <- scl_redcap (xy, dmat, ncl = 4)
plot (scl)
scl <- scl_recluster (scl, ncl = 5)
plot (scl)


mpadge/spatialcluster documentation built on Jan. 23, 2025, 8:26 a.m.