Skip to content

Instantly share code, notes, and snippets.

Embed
What would you like to do?
elbow plot
#Calculate lm's for emphasis
lm(cost_df$cost[1:10] ~ cost_df$cluster[1:10])
lm(cost_df$cost[10:19] ~ cost_df$cluster[10:19])
lm(cost_df$cost[20:100] ~ cost_df$cluster[20:100])
cost_df$fitted <- ifelse(cost_df$cluster <10, (19019.9 - 550.9*cost_df$cluster),
ifelse(cost_df$cluster <20, (15251.5 - 116.5*cost_df$cluster),
(13246.1 - 35.9*cost_df$cluster)))
#Cost plot
ggplot(data=cost_df, aes(x=cluster, y=cost, group=1)) +
theme_bw(base_family="Garamond") +
geom_line(colour = "darkgreen") +
theme(text = element_text(size=20)) +
ggtitle("Reduction In Cost For Values of 'k'\n") +
xlab("\nClusters") +
ylab("Within-Cluster Sum of Squares\n") +
scale_x_continuous(breaks=seq(from=0, to=100, by= 10)) +
geom_line(aes(y= fitted), linetype=2)
@ghost

This comment has been minimized.

Copy link

ghost commented Mar 13, 2015

Thanks

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
You can’t perform that action at this time.