# Understanding cluster plot and component variability

I have run k-means clustering. I have also plotted the results using the following code in R:

library(cluster)
library(fpc)
km <- kmeans(Mydata,3)


I do not understand what the "component 1" and "component 2" in the graph are. I also have no clue about what is meant by "These two components explain 46.78% of the point variability".

What are the components? How are they helpful in understanding the clustered data?