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change in minkowski distance formula #1

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2 changes: 1 addition & 1 deletion Advance_Practice_and_Unsupervised_Learning/AP_Clustering_Algo.tex
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Original file line number Diff line number Diff line change
Expand Up @@ -407,7 +407,7 @@ \section{Distance Measures}
$$
\item \textbf{Minkowski distance} is a generalized distance measure, with the power allowed to vary.
$$
d_{m}(j, k)=\left(\sum_{i=1}^{p}\left|x_{i j}-x_{i k}\right|^{1 / m}\right)^{1 / m}
d_{m}(j, k)=\left(\sum_{i=1}^{p}\left|x_{i j}-x_{i k}\right|^m\right)^{1 / m}
$$

Euclidean distance is equivalent to Minkowski distance with \(m=2\), and Manhattan distance is equivalent to Minkowski
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