Within groups sum of squares plot

Within Groups Sum of Squares Plot

wss_plot(data, nc = 15, standardize = TRUE, seed = 1234)

Arguments

data	a data frame of numeric variables.
nc	integer. The largest number of clusters to evaluate.
standardize	logical. If TRUE, standardize data before clustering.
seed	integer. A random number seed for reproducablility.

Value

a ggplot2 graph

Details

wss_plot generates a plot of within-groups sums-of-squares vs. number of clusters based on k-means clustering. The clustering uses euclidean distances between observations. By default, the variables are standardized (recommended). The plot is useful for determining the number of clusters present in the data. Look for the point were adding clusters does not significantly decrease the within-groups sum-of-squares.

Examples

# iris example (should find 3 clusters)
data(iris)
wss_plot(iris[-5])