Averaging of "similar data" in vector

Hi. I have a vector x as below. There are clearly "groups" of data. I want to find the average of each group

This was my attempt, but I've come to a halt: Not sure what to do next.

D=unique(double(x))
F=diff(D)
F1=F;
F1(F1<20)=[]
idx=find(F1==F)

x =

    72×1 uint16 column vector

      13
      13
      13
      13
      14
      14
      14
      14
      14
      58
      58
      58
      59
      59
      59
      59
      59
      60
     103
     103
     104
     104
     104
     104
     104
     104
     104
     193
     193
     194
     194
     194
     194
     194
     195
     195
     238
     238
     238
     239
     239
     239
     239
     239
     239
     283
     283
     284
     284
     284
     284
     284
     284
     284
     328
     329
     329
     329
     329
     329
     329
     329
     330
     373
     374
     374
     374
     374
     374
     375
     375
     375

Answer 1

[Jan]

If the blocks are identified by having a maximum distance thresh from the lowest to the highest element:

% UNTESTED
n      = length(x);
thresh = 20
group  = zeros(size(x));
lim    = x(1) + thresh;
index  = 1;
for k = 1:n
  if x(k) > lim
    index = index + 1;
    lim   = x(k) + thresh;
  end
  group(k) = index;
end

Y = splitapply(@mean, x, group);  % Needs Matlab >= 2015b

Answer 2

[Jason]

array = x';
sortedArray = sort(array);
nPerGroup = diff(find([1 (diff(sortedArray) > threshold) 1]));
groupArray = mat2cell(sortedArray,1,nPerGroup)
l=numel(groupArray)

m=zeros(l,1)
for i=1:l
   Gm=groupArray{:,i}
   m(i,1)=round(mean(Gm(:)))
end