How to find distance around point

I have 5 centroids point. and I want to compare about each point

Ex

pointA = [109,380]
pointB = [162,471]
pointC = [201,536]
pointD = [470,143]
pointE = [575,391]

compare distance between pointA and pointB, pointB and pointC, pointC and pointD, pointD and pointE, pointE and pointA

then calculate mean for pointA -->E

Ex pointA

x-axis |575-109| = 466
y-axis  |391-380| = 11
x-axis |109-162|= 53    
y-axis   |380-471| = 91

x-axis mean                               y-axis mean

466+53 = 519                            11+91 = 102
519/2 = 259.5                            102/2 = 51
mean x y
259.5+51 = 310.5
310.5/2 = 155.25

and make it finish all point.

then delete point those min mean value.

[dpb]

First, do NOT build variables with successive letter identifiers--use an array instead (you see in the above why not; there's no convenient way to address the various variables except by writing explicit code for every case).

Then see

doc pdist % Statistics TB

Answer 1

[KSSV]

points =  [109,380 ; 
 162,471 ;
 201,536 ;
 470,143 ;
575,391] ;
% 
coor = [points ; points(1,:)] ;
d = sqrt(sum(diff(coor).^2,2))