It's my first effort for KNN classification and am using wine data sample from UCI website. i was wondering what distance measures I can use in this case and how to get the computation time required to compute the distance from a sample to each other sample.
I want to determine its k nearest neighbors for each labeled sample, if the label of the sample is more common than any other label for the k nearest neighbors, then count the classification as correct. Otherwise, count the classification as incorrect.
I'd appreciate any input
data set info: attributes : 1) Alcohol 2) Malic acid 3) Ash 4) Alcalinity of ash and ... 13)xxx
it categorizes wines into 3 classes
one example would be:
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