Given temperature data record for five working days. The hourly temperature measurements for a complete working day are stored in a file in random order. That is, for five working days we have 5 files and each file has 8 temperature measurements (that are normalized). Given data record: File1=[0.1, 0.2 ,0.8, 0.4, 0.5, 0.5, 0.6, 0.5]; File2=[0.1, 0.3, 0.3, 0.3, 0.4, 0.7, 0.6, 0.7]; File3=[0.5, 0.6, 0.7,0.8, 0.1, 0.8, 0.8, 0.9 ]; File4=[0.5, 0.6, 0.7,0.8, 0.1, 0.8, 0.8, 0.9 ]; File5=[0.5, 0.6, 0.7,0.8, 0.1, 0.8, 0.8, 0.9 ]; Feature extraction 1) find maximum value from data set. 2) find minimum value from data set. 3) find mean value from data set. Note: all three feature values must be written in tabular form (i.e., Max | Min| Mean)
Given temperature data record for five working days. The hourly temperature measurements for a complete working day are stored in a file in random order. That is, for five working days we have 5 files and each file has 8 temperature measurements (that are normalized). Given data record: File1=[0.1, 0.2 ,0.8, 0.4, 0.5, 0.5, 0.6, 0.5]; File2=[0.1, 0.3, 0.3, 0.3, 0.4, 0.7, 0.6, 0.7]; File3=[0.5, 0.6, 0.7,0.8, 0.1, 0.8, 0.8, 0.9 ]; File4=[0.5, 0.6, 0.7,0.8, 0.1, 0.8, 0.8, 0.9 ]; File5=[0.5, 0.6, 0.7,0.8, 0.1, 0.8, 0.8, 0.9 ]; Feature extraction 1) find maximum value from data set. 2) find minimum value from data set. 3) find
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