View source: R/qgis_kmeansclustering.R
qgis_kmeansclustering | R Documentation |
QGIS Algorithm provided by QGIS (native c++) K-means clustering (native:kmeansclustering). Calculates the 2D distance based k-means cluster number for each input feature. If input geometries are lines or polygons, the clustering is based on the centroid of the feature.
qgis_kmeansclustering(
INPUT = qgisprocess:::qgis_default_value(),
CLUSTERS = qgisprocess:::qgis_default_value(),
FIELD_NAME = qgisprocess:::qgis_default_value(),
SIZE_FIELD_NAME = qgisprocess:::qgis_default_value(),
OUTPUT = qgisprocess:::qgis_default_value(),
...,
.complete_output = .complete_output_option(),
.quiet = .quiet_option(),
.messages = .message_option()
)
INPUT |
|
CLUSTERS |
|
FIELD_NAME |
|
SIZE_FIELD_NAME |
|
OUTPUT |
|
... |
further parameters passed to |
.complete_output |
logical specifying if complete out of |
.quiet |
logical specifying if parameter |
.messages |
logical specifying if messages from |
OUTPUT - outputVector - Clusters
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