Averaging of "similar data" in vector

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Jason
Jason 2017-2-21
编辑： Jan 2017-2-21
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
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14
14
58
58
58
59
59
59
59
59
60
103
103
104
104
104
104
104
104
104
193
193
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195
195
238
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238
239
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239
239
239
239
283
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284
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284
328
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329
329
329
330
373
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374
374
374
375
375
375

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采纳的回答

Jan
Jan 2017-2-21
编辑：Jan 2017-2-21
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

更多回答（1 个）

Jason
Jason 2017-2-21
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

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