Hi, Please I need help with these answers( 2questions only). It will be really appreciated. You can use pen and paper! Will appreciate it

28. From Q26, what is the output of a 5-NN (nearest neighbor classifier)? Calculate Accuracy and compare it with the accuracy of 1-NN. Which one is more accurate? Show all your steps. 29. Cluster the following eight points (with (x,y) representing locations) into three clusters: A1(2,10),A2(2,5),A3(8,4),A4(5,8),A5(7,5),A6(6,4),A7(1,2),A8(4,9) Initial cluster centers are: A1(2,10),A4(5,8) and A7(1,2). The distance function (called Manhattan distance) between two points a=(x1,y1) and b=(x2,y2) is defined as D(a,b)=x2x1+y2y1 Use K-Means Algorithm to find the three cluster centers after the second iteration