From 43d38b16f2bc183e368dea98ed8de897a81d4a76 Mon Sep 17 00:00:00 2001 From: Christian Muehlhaeuser Date: Sun, 27 May 2018 20:17:39 +0200 Subject: [PATCH] Don't confuse readers with different meanings of 'n' --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 275f6cc..d45332e 100644 --- a/README.md +++ b/README.md @@ -5,8 +5,8 @@ k-means clustering algorithm implementation written in Go ## What It Does [k-means clustering](https://en.wikipedia.org/wiki/K-means_clustering) partitions -an n-dimensional data set into `k` clusters, where each data point belongs to the -cluster with the nearest mean, serving as a prototype of the cluster. +a multi-dimensional data set into `k` clusters, where each data point belongs +to the cluster with the nearest mean, serving as a prototype of the cluster. ![kmeans animation](https://github.com/muesli/kmeans/blob/master/kmeans.gif)