Page 236 - Classification Parameter Estimation & State Estimation An Engg Approach Using MATLAB

FEATURE REDUCTION 225

and ¼þ2 18 1468 237 864 864 2315 670 2315 1952 2559 1643 1468 1643

geodesic q

between distance 0 ¼ q 52 2307 19 2387 2387 3988 2605 3988 2563 4878 2296 2307 2296

cities MDS
Furthest Differences ¼ 2 q 146 1797 6268 1310 1310 11528 1509 11528 9320 10794 1518 1797 1518

Geodesic distance 17700 19000 14000 18500 18500 16900 16100 16900 14400 16600 18600 19000 18600

City Santiago Santiago Melbourne Honolulu Capetown Melbourne Capetown London Melbourne Melbourne Tokyo Beijing Rio

and ¼þ2 1928 168 983 5750 62 1277 1924 2327 1277 1924 1658 1658 168
geodesic q

between distance 0 ¼ q 1156 37 626 1164 183 221 124 2196 221 124 701 701 37

cities MDS

Nearest Differences ¼ 2 q 213 8 104 1066 225 39 49 75 39 49 72 72 8

mapping

MDS Geodesic distance 3290 2130 2810 6080 4120 2450 3930 7350 2450 3930 2730 2730 2130

of
Results City Beijing Tokyo Moscow Rio Angeles Los Moscow York New Bangkok London Angeles Los Santiago Rio Beijing

7.2 Angeles York
Table Bangkok Beijing Cairo Capetown Honolulu London Los Melbourne Moscow New Rio Santiago Tokyo