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Identity Non-Outlers and Outlers from the following data objects using Distance Based Outlier Detection algorithm with x=2. =0.3 and the distance metric is Manhattan. Clearly
Identity Non-Outlers and Outlers from the following data objects using Distance Based Outlier Detection algorithm with x=2. =0.3 and the distance metric is Manhattan. Clearly show the step by step process From the observed outliers which is the top most outlier?
Objects A(4,8), B(5,7), C(6,6), D(7,5) , E(8,4) F(7,3), G (8,3) H(9,5), I (4,4), J(3,7)
please help fast Subject is Data warehousing and Data Mining
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