Research Article
Public Transport Driver Identification System Using Histogram of Acceleration Data
Algorithm 3
Threshold calculation for each driver using the KNN.
Input:k constant in KNN k | validation data validateData | training data trainData | Output:threshold for each driver thresholdd | 1:for each driver d do: | 2:validateDatad = validateData that keep only driver d | 3:for each validateDatad do: | 4:kListd = find k nearest neighbor in trainData | 5:topkListd = keep maximum distance from kListd | 6:end for | 7:thresholdd = average distance in topkListd | 8:end for |
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