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Statistical Clustering Performance in Pavement Condition Prediction as Decision Supporting System Tool

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Figure

Fig. 1- Decision tree algorithm process in data mining technic (Rygielski, et.al. 2002)
Fig. 2- Schematic graph of calculation steps of PCI (Loprencipe, et.al.2017)
Table 2- Calculation of central indexes and characteristics summary of subjective statistics of the study data
fig. (5), as data clustering output. As it is obvious, to predict pavement condition, according to described parameters, association rules could be used by software
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