Minimum distance classification using fuzzy method
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I have a single line matrix U =
-24.5167 -4.3898 44.8440 -17.3998 10.0035 44.4521 -47.8725 -5.1206
I apply dist(U) from neural network toolbox to get the minimum distance classification matrix 'out' out=dist(U).Then i get
I had a PCA score plot and these are the distances of the respective points from each other.
I want to attempt the same minimum distance classification using alternative method(fuzzy). My question is that how can we use fuzzy membership to find distance. I want to plot a fuzzy graph showing high membership towards points that are close to each other and low membership towards points away from each other. plz help..
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