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For the below three cluster models of size K=5 using models K-means, EWKM, and Hierarchical created in Rattle,compare all three by interpreting the meaning, and

For the below three cluster models of size K=5 using models K-means, EWKM, and Hierarchical created in Rattle,compare all three by interpreting the meaning, and what is different in the cluster centers:

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K-means K=5] Cluster centers: Gender Marital Dependents Income YrJob YrTown YrEd DrivLic OwnHome 0.6655 0.6703 1.0891 56.9710 8.2173 4.6356 12.8210 0.8964 0.4470 33.0000 64.9674 0.6543 0.5592 0.4581 65.3839 9.3896 5.0060 12.7414 0.6117 0.5213 55.5673 0.5466 0.6482 0.7139 38.2465 7.7287 5.1615 12.1030 0.8106 0.1835 43.9958 0.6737 0.6667 0.9328 99.7111 10.0098 5.0280 13.0098 0.8445 0.6078 28.1131 0.5266 0.6470 1.0032 29.1165 6.1157 4.9984 12.0536 0.9081 0.1670 CredC Churn ProGroc ProRest ProHous ProUtil ProAuto ProCloth ProEnt 3.7106 0.2834 0.0709 0.0191 0.2227 0.0616 0.0601 0.1509 0.0512 4.6656 0.3783 0.0337 0.0311 0.2103 0.0573 0.0374 0.1071 0.0505 4.5933 0.3662 0.0789 0.0457 0.2498 0.0786 0.0734 0.1883 0.0813 4.2465 0.3431 0.0364 0.0138 0.1851 0.0399 0.0414 0.0833 0.0300 3.4149 0.2710 0.1419 0.0467 0.3059 0.1087 0.1058 0.2176 0.0941 EWKM (K=5] Cluster centers: Gender Marital Dependents Income YrJob YrTown YrEd DrivLic OwnHome age 33.6899 0.5919 0.7303 1.1054 39.4466 7.2899 5.0345 12.3733 0.8607 0.2233 35.8695 0.6794 0.6637 1.0292 66.7732 3.7137 4.9516 12.8335 0.8993 0.5759 30.8231 0.4989 0.5641 0.9183 24.7640 5.7671 1.4866 11.8975 0.9899 0.1585 53.3246 0.6740 0.6140 0.7224 99.2580 10.4489 4.9775 13.0608 0.7624 0.5691 64.0461 0.5851 0.5635 0.4337 50.2720 8.4256 5.1629 12.4021 0.6512 0.3318 CredC Churn ProGroc ProRest ProHous ProUtil ProAuto ProCloth ProEnt 3.8963 0.3086 0.1146 0.0239 0.2604 0.0814 0.0762 0.2059 0.0730 3.8420 0.2868 0.0571 0.0181 0.2142 0.0575 0.0544 0.1246 0.0433 3.3600 0.2665 0.1416 0.0678 0.3253 0.1220 0.1281 0.2121 0.1054 4.4420 0.3605 0.0296 0.0172 0.1829 0.0389 0.0369 0.0774 0.0317 4.6098 0.3748 0.0439 0.0440 0.2246 0.0658 0.0491 0.1422 0.0686 Hierarchical (K=5] Cluster means: age Gender Marital Dependents Income YrJob YrTown YrEd DrivLic OwnHome [1,] 52.4645 0.6737 0.6242 0.7421 80.2383 10.0911 3.3284 12.9846 0.7722 0.5614 [2,1 26.9892 0.5303 0.6441 1.0040 28.7264 6.0522 6.6766 12.0024 0.9051 0.1667 [3,1 46.2129 0.5337 0.7078 0.9492 35.1052 7.3425 3.7837 12.1701 0.9104 0.1695 [4,] 65.9238 0.5466 0.5429 0.4513 47.0870 7.8679 7.2498 12.3179 0.6018 0.3172 [5, 1 32.1049 0.6765 0.6634 1.0436 55.1019 7.9765 3.8485 12.6870 0.8968 0.4230 CredC Churn ProGroc ProRest ProHous ProUtil ProAuto ProCloth ProEnt [1,] 4.6578 0.3623 0.0381 0.0214 0.1991 0.0493 0.0427 0.0984 0.0400 [2,1 3.8692 0.2787 0.1438 0.0490 0.3107 0.1114 0.1074 0.2198 0.0964 [3,1 4.4652 0.3659 0.1083 0.0390 0.2663 0.0865 0.0889 0.2034 0.0812 [4,1 3.7012 0.3145 0.0488 0.0457 0.2312 0.0699 0.0473 0.1497 0.0729 3.4490 0.2849 0.0716 0.0213 0.2251 0.0629 0.0624 0.1553 0.0538

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