It is widely observed in the industry th tend to occur in groups of systematic patte called defect clusters. There are many prop achieve cluster classification and recognitio degree of accuracy and limitations. Many o although powerful, generally do not act presence/absence of a cluster but simply se then attempts to calculate the validity of th they fail to be flexible and accurate becaus assume that the problem is singular: ide clusters, when in actuality, the problem o identification can be divided into three detection, segmentation and recognition. Thi the use of joint-count statistics to perform defect cluster detection. It is recommended t and recognition be performed after the det completed to a satisfactory level.
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