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1. The K -means algorithm automatically finds the correct number of clusters for a given dataset. true or false 2. What is one reason for
1.
The K-means algorithm automatically finds the correct number of clusters for a given dataset.
true or false
2.
What is one reason for running the K-means algorithm multiple times using different initial cluster centroids?
to find a fast converging solution
to avoid local minima in the solution
to find the best norm
to account for possible errors in computing distances
to avoid the fire swamp
What is one reason for running the K-means algorithm multiple times using different initial cluster centroids?
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