The Mahalanobis distance corrects data for different scales and correlations in the variables
The angle between two vectors can be used as a distance measure when clustering high dimensional data. See Inner product space.
The classifier assumed that each class would have normal (Gaussian) distribution and assigned each pixel to a class having the minimum Mahalanobis distance.
 See also: Image, Digital, Region, Cover, GIS
  
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