How to get only one white dot in place of many scattered neighboring white dots

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I have attached 'm1.jpg' with this queation. I have placed a red colored boxes around the collection of white dots in the image where I want to get only one white dot in replacement of the bunch of white dots. Is there any function or trick you suggest. Please share an automated solution.
m1.jpg

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KSSV
KSSV 2018-11-16
Get the locations of the points using find..group them and use mean to each group. YOu will get a single point.
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SYED AQEEL HAIDER
SYED AQEEL HAIDER 2018-11-20
I have written this command
I1 = imread('m1.jpg')
[X,Y] = find(I1);
R1 = [X(1),Y(1)]
R2 = [X(2),Y(2)]
and so on till
Rm = [X(m),Y(m)]
now, kindly mention how may I group these points before getting mean

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Image Analyst
Image Analyst 2018-11-20
You can use kmeans() if you have the Statistics and Machine Learning Toolbox. It will give you the cluster centroids.

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