There is many small cells which can be classified into several big cells from the scanned image. K-means clustering does not work well in this condition. I have done hierarchical clustering on cells successfully which uses shortest distance between classes. The number of clusters is about 3, 4, 5, 6, 7 generally. One can ascertain the number of clusters visually. But because there are thousands of images to be clustered. So it is humdrum to me. I want to know if there are any methods that can be used to ascertain the number of clusters automatically, especially in this case, only several clusters?
Thank you very much!
Best,
Fucang
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