Data Set (Comparison of Distance to Minkowsky)

In this post, I will give an example of calculating distance comparisons using the Minkowsky distance.

I have 3 pieces of data.

This data consists of X data, Y data and Z data.

Data X consists of = 5, 0, 2, 7, 0

Data Y consists of = 1, 7, 0, 2, 3

Data Z consists of = 1, 4, 4, 3, 1

r = 3

From the data above, we will look for a comparison of the distance between Data X to Data Y, Data Y to Data Z and Data Z to Data X

Distance of Data X to Data Y

So, the distance from Data X to Data Y is 0.33333

Distance of Data Y to Data Z

So, the Distance of Data Y to Data Z is 0

Distance of Data Z to Data X

So, the Distance of Data Z to Data X is -0.33333

From the results of the three distances found as follows:

From the data above, the distance obtained from Data Y to Data Z is the closest distance with a value of -0.33333

Notes :

• It should be remembered that the distance has no negative results, because here there are negatives due to data errors.