K-Means Clustering for Grids|1
imagery_classification
QgsProcessingParameterMultipleLayers|GRIDS|Features|3|None|True
QgsProcessingParameterRasterDestination|CLUSTER|Clusters|None|False
QgsProcessingParameterVectorDestination|STATISTICS|Statistics|5|None|False
QgsProcessingParameterEnum|METHOD|Method|[0] Minimum Distance (Forgy 1965);[1] Hill Climbing (Rubin 1967);[2] Minimum Distance + Hill Climbing|False|1
QgsProcessingParameterNumber|NCLUSTER|Number of Clusters|QgsProcessingParameterNumber.Integer|10|False|2|None
QgsProcessingParameterNumber|MAXITER|Maximum Iterations|QgsProcessingParameterNumber.Integer|10|False|0|None
QgsProcessingParameterEnum|INITIALIZE|Start Partition|[0] random;[1] periodical;[2] keep values|False|0
QgsProcessingParameterEnum|ELBOW_INIT|Start Partition|[0] random;[1] periodical|False|0
QgsProcessingParameterEnum|ELBOW|Elbow Method|[0] no;[1] absolute;[2] change;[3] maximum distance|False|0
QgsProcessingParameterNumber|ELBOW_ABS|Threshold Percentage|QgsProcessingParameterNumber.Double|10.000000|False|0.000000|50.000000
QgsProcessingParameterNumber|ELBOW_CHG|Threshold Percentage|QgsProcessingParameterNumber.Double|5.000000|False|0.000000|50.000000
QgsProcessingParameterVectorDestination|ELBOW_STATS|Elbow Statistics|5|None|False
QgsProcessingParameterBoolean|NORMALISE|Normalise|False
QgsProcessingParameterBoolean|OLDVERSION|Old Version|False
