# Recognizing hand-written archaeological signs

I have 75 images of handwritten signs from which I extracted 7 Hu moments and solidity features. How can I find similarities among them to train a classifier and predict the value? I thought SVM was a good choice, but I don't have a target vector (what do I put? I do not know differences in signs that I can say there are, say, three labels, such as "circle", "triangle" or "square").

Is cluster analysis more appropriate? If yes, What is best method? I am using the scikit-learn module in python.

http://scikit-learn.org/stable/modules/svm.html

http://scikit-learn.org/stable/modules/clustering.html

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–  postgres Feb 6 '13 at 15:32
Can you show us the full set of samples? –  Emre Feb 6 '13 at 21:02
–  postgres Feb 6 '13 at 22:53