Imaging objects in classes A and B having two numeric attributes/properties that we map to X and Y Cartesian coordinates so that we can plot class instances (cases) as points on a 2-D chart. In other words, our cases are represented as points with X and Y coordinates (p(X,Y)).

Our simple classes A and B will have 3 object instances (cases) each.

Class A will include points with coordinates (0,0), (1,1), and (2,2). Class B will include points with coordinates (6,6), (5.5, 7), and (6.5, 5).

In R software , we can write down the above arrangement as follows:

# Class A training object instances (cases) A1=c(0,0) A2=c(1,1) A3=c(2,2) # Class B training objects instances (cases) B1=c(6,6) B2=c(5.5,7) B3=c(6.5,5)

How are the classification training objects for class A and class B arranged on a chart?

Print the chart

Please help, I don't know how to start

below is how the chart should look like

The KNN Algorithm Demo 7 Objects of class B 6 5 4 3 2 1 Objects of class A 0 0 1 2 3 4 5 6 X-coordinate The KNN Algorithm Demo 7 Objects of class B 6 5 4 3 2 1 Objects of class A 0 0 1 2 3 4 5 6 X-coordinate