Exercise

Runtime of k-means clustering

Recall that it took a significantly long time to run hierarchical clustering. How long does it take to run the kmeans() function on the FIFA dataset?

The data is stored in a Pandas data frame, fifa. scaled_sliding_tackle and scaled_aggression are the relevant scaled columns. timeit and kmeans have been imported.

Cluster centers are defined through the kmeans() function. It has two required arguments: observations and number of clusters. You can use %timeit before a piece of code to check how long it takes to run. You can time the kmeans() function for three clusters on the fifa dataset.

Instructions

50 XP

Possible Answers

~ 50 μs (microseconds)
~ 50 ms (milliseconds)
~ 50 s (seconds)