View source: R/qgis_dbscanclustering.R
qgis_dbscanclustering | R Documentation |
QGIS Algorithm provided by QGIS (native c++) DBSCAN clustering (native:dbscanclustering). Clusters point features using a density based scan algorithm. Clusters point features based on a 2D implementation of Density-based spatial clustering of applications with noise (DBSCAN) algorithm. The algorithm requires two parameters, a minimum cluster size (“minPts”), and the maximum distance allowed between clustered points (“eps”).
qgis_dbscanclustering(
INPUT = qgisprocess:::qgis_default_value(),
MIN_SIZE = qgisprocess:::qgis_default_value(),
EPS = qgisprocess:::qgis_default_value(),
DBSCAN = 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 |
|
MIN_SIZE |
|
EPS |
|
DBSCAN |
|
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 |
NUM_CLUSTERS - outputNumber - Number of clusters
OUTPUT - outputVector - Clusters
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