Unsupervised Classification

Unsupervised classification is a process of classifying that uses a computational algorithm to "cluster" pixels of similar density.  Clusters are then classified by name by an analyst.  It is important the the analyst be aware of and familiar with the subject image.  The image below was originally clustered into 50 classes.  The analyst (me) then named each class and later merged all similar classes into only five remaining categories.