How do I classify points in an image into groups?

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Hello to you all
I have an image that contains points and I want to combine these points based on the distance between them and finally surround each group;
Thank you for your help, and here attached an example of the image

Answers (3)

Salaheddin Hosseinzadeh
Salaheddin Hosseinzadeh on 17 Apr 2015
Hi Maa Kari,
You can shrink the spots to a single point using bwmorph().
Then you may classify them according to their X and Y position, or you can use a perceptron for classification.
Good luck ;)

Maa Kari
Maa Kari on 17 Apr 2015
Hi Salaheddin Hosseinzadeh thanks for yur answer;
Yes i have a vector (n x 2 ) that contain the X and Y posistion of my points , but i dont have any idea how to do , can you please clarify

Image Analyst
Image Analyst on 17 Apr 2015
It sounds like you don't have an image but actually just a list of x,y coordinates. Do you have the Statistics and Machine Learning Toolbox? There are functions in there for clustering/classification. For example, you could use kmeans().
  4 Comments
Maa Kari
Maa Kari on 22 Apr 2015
there are no feature for the X and Y axes,the image is above it's just a show of points using plot(), my problem is that I have a matrix that contains coordinates of the point, and I want to group them according to some criterion and have sub-matrix of the coordinates of the points of each group , can you please tell me some unsupervised methods Thanks
Image Analyst
Image Analyst on 23 Apr 2015
The Statistics and Machine Learning Toolbox provides supervised and unsupervised machine learning algorithms, including support vector machines (SVMs), boosted and bagged decision trees, k-nearest neighbor, k-means, k-medoids, hierarchical clustering, Gaussian mixture models, and hidden Markov models.

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