> print(pam.df1)
Medoids:
      ID No__of_Brands Brand_Runs Total_Volume No__of__Trans      Value Trans___Brand_Runs   Vol_Tran  Avg__Price      maxBr
[1,] 512    -0.4030277 -0.2646729   -0.6968480    -0.8121377 -0.6905765         -0.5029460 -0.1314431 -0.17160110 -0.8159000
[2,] 477     0.8630280  0.6971911    0.1525319     0.4502525  0.2231924         -0.3540002 -0.3181904 -0.03228384 -0.3914631
[3,] 268    -0.4030277 -0.7456049   -0.0147702    -0.3530867 -0.1640554          0.1947557  0.2289306 -0.46186069  0.9267515
[4,] 215     0.2300001  0.2162591    1.9928550     0.2207270  1.6612178         -0.2584838  1.4785506 -0.42726888 -0.8598899
     Others_999
[1,]  0.7409946
[2,]  0.2148692
[3,] -0.8720451
[4,]  1.0369149
Clustering vector:
  [1] 1 2 2 3 1 2 2 3 4 1 2 2 4 3 1 2 2 3 3 1 3 3 3 3 3 2 3 3 1 3 3 1 3 3 3 1 1 1 3 3 1 3 3 3 4 3 1 3 3 2 3 3 3 4 3 3 3 4 3 1 2
 [62] 3 3 3 2 3 2 2 1 3 3 2 3 1 2 1 1 3 4 1 1 2 3 1 1 2 1 4 3 3 2 4 3 2 2 2 3 2 3 3 2 3 4 2 1 2 2 1 2 1 3 2 2 2 4 2 2 3 2 2 1 2
[123] 3 4 4 3 4 3 2 4 2 2 3 2 3 1 1 2 2 4 1 3 1 3 3 3 2 1 2 3 3 3 3 3 2 2 3 3 1 4 3 3 4 2 4 2 4 1 2 1 2 2 1 3 2 2 3 3 3 1 1 4 2
[184] 2 2 3 4 2 4 2 1 2 3 3 2 2 2 2 2 3 3 4 4 1 3 1 1 4 3 2 3 1 2 3 4 1 3 2 3 2 1 4 3 1 1 3 3 2 1 3 3 4 3 3 3 3 2 3 3 1 2 2 1 3
[245] 3 2 1 1 1 1 1 2 1 2 1 3 3 3 4 2 3 1 2 3 2 3 2 3 2 2 4 4 3 2 1 3 2 2 3 1 4 1 2 4 4 2 2 3 2 2 2 1 3 1 1 3 3 2 2 2 1 3 1 2 2
[306] 3 2 1 1 1 2 2 4 2 4 2 1 1 2 3 4 2 4 4 3 3 2 3 2 1 2 3 2 1 1 2 2 2 3 1 3 3 4 1 2 1 2 1 2 2 3 1 2 3 2 2 2 2 2 2 1 3 2 4 2 1
[367] 1 2 2 1 1 1 3 3 3 1 1 1 2 2 1 1 2 1 4 2 2 2 2 2 4 2 1 3 2 1 1 1 1 3 1 2 2 2 1 1 1 1 2 2 1 1 2 3 1 2 2 1 3 2 4 1 1 3 1 2 3
[428] 1 2 3 4 1 1 1 1 3 2 2 3 1 3 1 2 1 1 1 3 2 3 1 1 3 3 1 3 2 1 2 2 2 2 1 2 3 2 2 2 3 1 1 1 1 2 2 4 4 2 2 3 4 3 2 2 1 1 3 1 2
[489] 2 2 3 1 3 3 4 2 1 2 2 2 3 2 1 2 1 1 3 1 2 2 1 1 3 2 2 3 3 2 3 2 3 3 3 4 3 3 2 1 2 3 1 3 2 3 2 3 3 2 3 3 2 2 2 2 2 1 1 3 2
[550] 2 3 1 3 2 2 1 1 2 2 3 2 3 2 2 2 1 2 1 3 2 1 2 1 2 4 3 2 1 1 2 2 1 3 2 3 2 2 2 1 2 1 1 3 1 3 3 2 4 1 3
Objective function:
   build     swap
2.235072 2.192187

Available components:
 [1] "medoids"    "id.med"     "clustering" "objective"  "isolation"  "clusinfo"   "silinfo"    "diss"       "call"
[10] "data"