# classification machinery needed

Consider a set of 7D vectors. Each vector belongs to one of four classes.

After mapping to 3D with PCA and coloring each point according its class the dataset looks like as shown below:

What classification technique would be suitable for this dataset (e.g. decision trees, neural networks, etc) ?

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What space are you working in? $R^7$? Or a discrete space? Am a bit puzzled by your remark: "coloring each point according to its class". This suggests that you already have a classifier? –  Assad Ebrahim Dec 26 '12 at 23:15