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 commentaires

Andrew Newell
Andrew Newell le 10 Mai 2011
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.
ops OPS
ops OPS le 14 Mai 2011
okay Walter , exemple k means http://www.mathworks.com/matlabcentral/fileexchange/12979-clusterimg
i want it with KNN .i hope you understand me .
ops OPS
ops OPS le 14 Mai 2011
clustering on an input RGB (m x n x 3) using K Nearest Neighbours .

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Réponses (1)

xiaolong
xiaolong le 16 Mai 2011

0 votes

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 commentaires

xiaolong
xiaolong le 2 Juin 2011
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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Question posée :

le 9 Mai 2011

Commenté :

le 7 Déc 2018

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