Dataset

discard year and brand

In other words, using six features and the Euclidean distance, write a program to perform average link clustering as well as complete link clustering. Output the clusters and their members at every merge. Comment on the results. mpg, cylinders, cubicinches, hp, weightlbs, time-to-60, year, brand 14,8,350,165,4209,12,1972, US. 31.9,4,89,71,1925,14,1980, Europe. 17,8,302,140,3449,11,1971, US. 15,8,400,150,3761,10,1971, US. 30.5,4,98,63,2051,17,1978, US. 23,8,350,125,3900,17,1980, US. 13,8,351,158,4363,13,1974, US. 14,8,440,215,4312,9,1971, Us. 25.4,5,183,77,3530,20,1980, Europe. 37.7,4,89,62,2050,17,1982, Japan. 34,4,108,70,2245,17,1983, Japan. 34.3,4,97,78,2188,16,1981, Europe. 16,8,302,140,4141,14,1975, US. 11,8,350,180,3664,11,1974, US. 19.1,6,225,90,3381,19,1981, Us