From 3b553c8c52edf72ee57376cbba8bb823bfcafe9a Mon Sep 17 00:00:00 2001
From: Puxue Qiao <pqiao@svi.edu.au>
Date: Tue, 1 Oct 2019 22:55:49 +1000
Subject: [PATCH] correct spelling mistake

---
 course_files/clust-intro.Rmd | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/course_files/clust-intro.Rmd b/course_files/clust-intro.Rmd
index f91ed43..12e5ac5 100644
--- a/course_files/clust-intro.Rmd
+++ b/course_files/clust-intro.Rmd
@@ -209,7 +209,7 @@ that are very fast, although not the most accurate approaches.
    
   
 
-####  Concensus clustering (more robustness, less computational speed)
+####  Consensus clustering (more robustness, less computational speed)
 
 ##### __Motivation (Two problems of $K$-means)__: \
 - __Problem1:__  sensitive to initial partitions \
@@ -219,7 +219,7 @@ that are very fast, although not the most accurate approaches.
  &nbsp; __Solution:__ 
   &nbsp; Run $K$-means with a range of $K$'s.
 
-##### __Algorithm of concensus clustering (simpliest version)__: 
+##### __Algorithm of consensus clustering (simpliest version)__: 
 ```{r, eval = F, highlight = F}
 for(k in the range of K){
   for(each subsample of the data){
@@ -252,7 +252,7 @@ Say we partitioned four data points into 2 clusters.
 
 <center>![](figures/concensus1.png){width=60%}</center>
 
-- __Step2:__ Concensus matrix: \
+- __Step2:__ Consensus matrix: \
  Average of all the partitions
  <center>![](figures/concensus2.png){width=30%}</center>
 
-- 
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