How to make face images clustering using kmeans clustering?
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prashanth
on 26 Mar 2014
Commented: Shashank Prasanna
on 27 Mar 2014
I detected face using Viola-jones algorithm from video.I cropped faces from each frame.I recognized faces using eigen faces.In eigenface algorithm I calculated euclidian distance for input image.I even calculated threshold to recognize faces.Recognizing is over I guess.But now i have to do clustering.I dont know how to start.Can you suggest me to how to start?
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Shashank Prasanna
on 26 Mar 2014
You can start with the examples on the documentation page for KMEANS:
You'll need 2 pieces of information. (1) X: your input matrix of features (2) k: number of clusters. Number of clusters is something you may have to start by guessing if you don't already know.
All that is left is to invoke KMEANS:
[IDX,C,sumd] = kmeans(X,k)
If you don't know how many clusters are there in the data, you can make use of cluster evaluation techniques as follows:
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Shashank Prasanna
on 27 Mar 2014
Its a matrix of features, could be a vector form of the image. Maybe this example is useful:
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