scl_full: scl_full

In mpadge/spatialcluster: R port of redcap

scl_full

Description

Full spatially-constrained clustering.

Usage

scl_full(xy, dmat, ncl, linkage = "single", shortest = TRUE, nnbs = 6L)

Arguments

xy	Rectangular structure (matrix, data.frame, tibble), containing coordinates of points to be clustered.
dmat	Square structure (matrix, data.frame, tibble) containing distances or equivalent metrics between all points in xy. If xy has n rows, then dat must have n rows and n columns.
ncl	Desired number of clusters. See description of 'ncl_iterate' parameter for conditions under which actual number may be less than this value.
linkage	Either "single" or "average". For covariance clustering, use "single" with 'shortest = FALSE'.
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.
nnbs	Number of nearest neighbours to be used in calculating clustering trees. Triangulation will be used if nnbs <= 0.

See Also

Other clustering_fns: scl_recluster(), scl_redcap()

Examples

n <- 100
xy <- matrix (runif (2 * n), ncol = 2)
dmat <- matrix (runif (n^2), ncol = n)
scl <- scl_full (xy, dmat, ncl = 4)

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