From ebbf51fe7f0ce97f52df290a0f43c44648229f17 Mon Sep 17 00:00:00 2001 From: chskTg Date: Sun, 17 Mar 2024 17:49:58 -0400 Subject: [PATCH] change in minkowski distance formula --- .../AP_Clustering_Algo.tex | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/Advance_Practice_and_Unsupervised_Learning/AP_Clustering_Algo.tex b/Advance_Practice_and_Unsupervised_Learning/AP_Clustering_Algo.tex index 1c3a27f..b36b8e8 100644 --- a/Advance_Practice_and_Unsupervised_Learning/AP_Clustering_Algo.tex +++ b/Advance_Practice_and_Unsupervised_Learning/AP_Clustering_Algo.tex @@ -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