Clustering Flashcards
1
Q
What is the clustering method k-means used for?
A
number of clusters k is chosen in advance, then the goal is to partition the inputs into sets Si…Sk in a
way that minimizes the total sum of squared distances from each point to the mean of its assigned cluster.
2
Q
How to choose k?
A
Plotting the sum of squared errors and looking at where the graph “bends”