MACHINE LEARNING HELP!!

Hi there,
i wonder if anyone could point me in the right direction. I'm trying to use the MLT but I'm not quite sure how to go about getting what I want. Basically when I take in a signal I want to use the MLT to recognise the signal that's coming in and whether it is more like A or B.
At first i was looking into k-means and density estimation but now I am thinking kNN. But I have no idea of how to even go about this with LabVIEW. Looking at the toolkit I've also doscovered Spectral Clustering. Would this be better? iIve tried messing around with the toolkit but I'm getting no results. As I said, any help would be greatly appreciated!
Kind Regards,
KelOb

Hi Matt,
Brilliant, thank you and many thanks for your reply it is greatly appreciated. I have looked at the page a few times yes and researched all methods. As far as I can see k-means and clustering the data may be the best for me. however when I use the vi's in the toolkit, even though i get a reading, it is messy. Realistically I would like a class 0 (red) to represent a 'no event' in my sensor and a class 1 (green) to represent an event. and to cluster the events depending on strngth (they are seismic signals). I have attached a screenshot of the XY graph I have so far.
Any help at all is appreciated as I can't see where I'm going wrong.
Kindest Regards,
Kelly
Attachments:
Screenshot 2014-01-24 11.00.59.png ‏279 KB

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MACHINE LEARNING HELP!!

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