hclustgeo_disc {sdsfun} | R Documentation |
hierarchical clustering with spatial soft constraints
Description
hierarchical clustering with spatial soft constraints
Usage
hclustgeo_disc(data, n, alpha = 0.5, D1 = NULL, scale = TRUE, wt = NULL, ...)
Arguments
data |
An |
n |
The number of hierarchical clustering classes, which can be a numeric value or vector. |
alpha |
(optional) A positive value between |
D1 |
(optional) A |
scale |
(optional) Whether to scaled the dissimilarities matrix, default is |
wt |
(optional) Vector with the weights of the observations. By default, |
... |
(optional) Other arguments passed to |
Value
A vector
with grouped memberships if n
are scalar
, otherwise a matrix
with grouped
memberships is returned where each column corresponds to the elements of n
, respectively.
Note
This is a C++
enhanced implementation of the hclustgeo
function in ClustGeo
package.
Examples
gzma = sf::read_sf(system.file('extdata/gzma.gpkg',package = 'sdsfun'))
gzma$group = hclustgeo_disc(gzma,5,alpha = 0.75)
plot(gzma["group"])