Divide them into $2$ groups using the k means clustering algorithm

#$3.$ Given $16$ observations:

$\backslash$table$[[\backslash$table$[[$Observation$],[$No$.]],x_1,x_2,\backslash$table$[[$Observation$],[$No$.]],x_1,x_2,],[1,2,0,,9,6+2,0],[2,\sqrt[\phantom{2}]{2},\sqrt[\phantom{2}]{2},10,6+\sqrt[\phantom{2}]{2},\sqrt[\phantom{2}]{2},],[3,0,2,11,6,2,],[4,-\sqrt[\phantom{2}]{2},\sqrt[\phantom{2}]{2},12,6-\sqrt[\phantom{2}]{2},\sqrt[\phantom{2}]{2},],[5,-2,0,13,4,0,],[6,-\sqrt[\phantom{2}]{2},-\sqrt[\phantom{2}]{2},14,6-\sqrt[\phantom{2}]{2},-\sqrt[\phantom{2}]{2},],[7,0,-2,15,6,-2,],[8,\sqrt[\phantom{2}]{2},-\sqrt[\phantom{2}]{2},16,6+\sqrt[\phantom{2}]{2},-\sqrt[\phantom{2}]{2},]]$

Divide them into $2$ groups using the K$-$means clustering algorithm.

Assume initial cluster centers are Observation No$.4$ and $14.$