PCTSignatures Properties 
The PCTSignatures type exposes the following members.
Name  Description  

ClusterMinSize 
This parameter multiplied by the index of iteration gives lower limit for cluster size. Clusters containing fewer points than specified by the limit have their centroid dismissed and points are reassigned.
 
DistanceFunction 
Distance function selector used for measuring distance between two points in kmeans.
 
DropThreshold 
Remove centroids in kmeans whose weight is lesser or equal to given threshold.
 
GrayscaleBits 
Color resolution of the greyscale bitmap represented in allocated bits (i.e., value 4 means that 16 shades of grey are used). The greyscale bitmap is used for computing contrast and entropy values.
 
IterationCount 
Number of iterations of the kmeans clustering. We use fixed number of iterations, since the modified clustering is pruning clusters (not iteratively refining k clusters).
 
JoiningDistance 
Threshold euclidean distance between two centroids. If two cluster centers are closer than this distance, one of the centroid is dismissed and points are reassigned.
 
MaxClustersCount 
Maximal number of generated clusters. If the number is exceeded, the clusters are sorted by their weights and the smallest clusters are cropped.
 
Ptr 
Pointer to the unmanaged object
(Inherited from UnmanagedObject.)  
WeightA 
Weights (multiplicative constants) that linearly stretch individual axes of the feature space. (x,y = position. L,a,b = color in CIE Lab space. c = contrast. e = entropy)
 
WeightB 
Weights (multiplicative constants) that linearly stretch individual axes of the feature space. (x,y = position. L,a,b = color in CIE Lab space. c = contrast. e = entropy)
 
WeightEntropy 
Weights (multiplicative constants) that linearly stretch individual axes of the feature space. (x,y = position. L,a,b = color in CIE Lab space. c = contrast. e = entropy)
 
WeightL 
Weights (multiplicative constants) that linearly stretch individual axes of the feature space. (x,y = position. L,a,b = color in CIE Lab space. c = contrast. e = entropy)
 
WeightX 
Weights (multiplicative constants) that linearly stretch individual axes of the feature space. (x,y = position. L,a,b = color in CIE Lab space. c = contrast. e = entropy)
 
WeightY 
Weights (multiplicative constants) that linearly stretch individual axes of the feature space. (x,y = position. L,a,b = color in CIE Lab space. c = contrast. e = entropy)
 
WindowRadius 
Size of the texture sampling window used to compute contrast and entropy. (center of the window is always in the pixel selected by x,y coordinates of the corresponding feature sample).
