Cluster%s  Pixels  Channel Means


Project class means included as initial cluster centers.


Initialize within correlation matrix eigenvector volume.


 Cluster %2ld classification size:  %ld


Clusters from selected area.



Cluster%s          Channel Standard Deviations



End ISODATA cluster



Start ISODATA cluster



End one pass cluster




Start one pass cluster


 Line interval:   %ld
 Column interval: %ld


Clusters from training area(s).


Classify selected area:


Cluster classify training area(s).


No cluster classification.



The cluster statistics will be saved to the project file.


Saving Statistics in Project File.

Line:

Area:

All clusters too small (try increasing critical distance).


Critical distance 2:  %ld


Critical distance 1:  %ld


Determining Initial Clusters (One-Pass)

Checking Cluster Sizes.

Clustering Rest of Lines.

Clustering First Line(s).

Percent of pixels not changed:

Determining Initial Clusters

Determining Initial Clusters (P. Eigenvector)

Determining Initial Clusters (Covariance)

Number of Clusters:


Final cluster class statistics.



Initial cluster class centers.


Minimum cluster size:  %ld


Convergence (percent):  %5.1f


Number Clusters:  %ld


Initialize using one-pass cluster centers.


Initialize within covariance matrix eigenvector volume.


Initialize along first correlation matrix eigenvector.


Initialize along first covariance matrix eigenvector.


Only the first %ld classes will be used.



Number of cluster classes reduced to %ld.



 Number of pixels not classified = %ld



Classification summary




Classification of Training Area: %ld