In winequality-red data set
df=subset(winequality.red,select = c(chlorides,alcohol,quality,pH))
I use K mean clustering for k=4
km=kmeans(df_wine_scale,centers = 4,nstart = 20)
K-means clustering with 4 clusters of sizes 545, 503, 521, 30
Cluster means:
chlorides alcohol quality pH
Cluster1 0.06080698 -0.6531504 -0.2763583 -0.7679607
Cluster2 -0.16645670 -0.3596382 -0.6644864 0.7597580
Cluster3 -0.24709688 1.0785218 0.9569538 0.1447128
Cluster4 5.97751308 -0.8348286 -0.4573673 -1.3005017
Exactly I want to know how these numbers correspond to 4 variables and 4 clusters in cluster means to make conclusions for characteristics? Thanks very much. Help me please.