KMeansClassification|out
Unsupervised KMeans image classification
Learning
QgsProcessingParameterRasterLayer|in|Input Image|None|False
QgsProcessingParameterRasterDestination|out|Output Image
QgsProcessingParameterNumber|nc|Number of classes|QgsProcessingParameterNumber.Integer|5|True
QgsProcessingParameterNumber|ts|Training set size|QgsProcessingParameterNumber.Integer|100|True
QgsProcessingParameterNumber|maxit|Maximum number of iterations|QgsProcessingParameterNumber.Integer|1000|True
QgsProcessingParameterFileDestination|outmeans|Centroid filename
OTBParameterChoice|sampler|Sampler type|periodic;random|0|True
QgsProcessingParameterNumber|sampler.periodic.jitter|Jitter amplitude|QgsProcessingParameterNumber.Integer|0|True
QgsProcessingParameterRasterLayer|vm|Input validity mask|None|True
QgsProcessingParameterNumber|nodatalabel|Label mask value|QgsProcessingParameterNumber.Integer|0|True
QgsProcessingParameterBoolean|cleanup|Temporary files cleaning|true|True
QgsProcessingParameterNumber|rand|set user defined seed|QgsProcessingParameterNumber.Integer|0|True
*QgsProcessingParameterEnum|outputpixeltype|Output pixel type|uint8;int;float;double|False|2|True
