KMeansClassification
otbcli_KMeansClassification
Unsupervised KMeans image classification
Learning
ParameterRaster|-in|Input Image|False
OutputRaster|-out|Output Image
ParameterNumber|-ram|Available RAM (Mb)|None|None|128
ParameterRaster|-vm|Validity Mask|True
ParameterNumber|-ts|Training set size|None|None|100
ParameterNumber|-nc|Number of classes|None|None|5
ParameterNumber|-maxit|Maximum number of iterations|None|None|1000
ParameterNumber|-ct|Convergence threshold|None|None|9.99999974738e-05
OutputFile|-outmeans|Centroid filename
ParameterNumber|-rand|set user defined seed|None|None|0
