How to make face images clustering using kmeans clustering?

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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
Shashank Prasanna 2014-3-26
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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prashanth
prashanth 2014-3-27
I know number of clusters k.Please can you explain me little bit about X:input matrix of features?How to get this input matrix.Actually I used Eigenfaces to recognize faces.I calculated euclidian distance and threshold for input image.Is this anything helpful for X:input matrix of features?Iam new to this image processing.

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