How do I classify points in an image into groups?
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Commented: Image Analyst on 23 Apr 2015
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
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 ;)
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().
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.
See Examples and how-tos here: http://www.mathworks.com/discovery/unsupervised-learning.html
Find more on k-Means and k-Medoids Clustering in Help Center and File Exchange
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