Classification Image using K Nearest Neighbours

[EDIT: Thu May 12 22:14:37 UTC 2011 Duplicate Removed - MKF]
hello , I'm trying to classify data from a picture using nearest neighbor method Class = knnclassify(Sample, Training, Group) problem is how i get Group
10x .

4 Comments

This question doesn't make any sense. Could you please provide the relevant part of your code and describe in more detail what your question is?
I believe the question is how to find the optimal number of clusters for KNN.
okay Walter , exemple k means http://www.mathworks.com/matlabcentral/fileexchange/12979-clusterimg
i want it with KNN .i hope you understand me .
clustering on an input RGB (m x n x 3) using K Nearest Neighbours .

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Answers (1)

i just have the similar question like you ? i have segmented the image into different region ?but i don't know how to classification the region to different class ?who can help me ?

3 Comments

i don't know why the answer is good ?
Me to, I don't why this answer is good????
It's not an answer. I unaccepted it. I have used knnsearch(). I'm attaching a simple demo for (x,y) data. If you need a demo, post your image and explanation in a new question.

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Asked:

on 9 May 2011

Commented:

on 7 Dec 2018

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