(New page: The k-Minkowski metric between two points <math>P_1 = (x_1,x_2,...,x_n)</math> and <math>P_2 = (y_1,y_2,...,y_n)</math> is defined as <math> d_k = (\sum_{i=1}^n \parallel x_i-y_i \parallel...) |
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Latest revision as of 01:41, 17 April 2008
The k-Minkowski metric between two points $ P_1 = (x_1,x_2,...,x_n) $ and $ P_2 = (y_1,y_2,...,y_n) $ is defined as $ d_k = (\sum_{i=1}^n \parallel x_i-y_i \parallel ^k)^{\frac{1}{k}} $. Manhattan metric (k=1) and Euclidean metric(k=2) are the special cases of Minkowski metric. Here $ P_1 $ and $ P_2 $ are the points corresponding to feature vectors.
