Cluster

Clustering, or unsupervised classification, is a rather quick process in which image data is grouped into spectral clusters based on the statistical properties of all pixel values. It is an automated classification approach with a maximum of 4 input bands.

Optionally, an attribute table can be created for the output map. The table will contain statistical information on the output clusters: the average, predominant and minimum and maximum value of each cluster as found in the input bands.