Description: ISODATA algorithm algorithm steps: (1) preset settings a. Cluster analysis control parameters: lc = expected number of categories, lNc = initial number of cluster centers (which may not equal to c), lθn = each category of permit the minimum number of models (if less than that and should not become a separate category), lθs = category weight distribution of the standard deviation of the distance between the upper bound of (larger than this number on the split), lθD = two types of the minimum distance between centers of the lower bound of ( If the number is smaller than this, these two
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