Hey guys, quick question. I have data that (in frequency) looks like : http://imgur.com/a89Sd
Upon visual inspection of the data I used K-Means clustering to separate peaks around A and C.
Is there such an algorithm that will detect the number of means to separate, ignoring false peaks B and D.
The final data has many more peaks than the sample data.
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