Clustering 1. consider the following eight points in 2-dimensional space: (2,10); (2,5); (8,4); (5,8); (7,5); (6,4); (1,2); (4,9). suppose we plan to use the euclidean distance metric and that we are interested in clustering these points into 3 clusters. plot the data by hand on paper to see what might be appropriate clusters.

it is a. 4.2 because 7.6-3.4 gets the remaining length of 4.2. i might be wrong but i am pretty sure this is the answer.

r and t.

both are 64 degrees.

the answer is (-8,-5)

step-by-step explanation:

the endpoint to midpoint is half the length. the length is (-2,-1) so when you are at the midpoint just add it to it to find your answer -6+(-2)= -8 and -4+(-1)=-5 so (-8,-5)

you are uyytr tyy

step-by-step explanation: