Question: While using the K - means algorithm, what are some ways to avoid getting stuck at a local optimum? Run the algorithm multiple times using

While using the K-means algorithm, what are some ways to avoid getting stuck at a local optimum?
Run the algorithm multiple times using different random initializations, and take the optimum.
Run the algorithm multiple times with the same initialization, and take the optimum.
Use a smarter initialization like K-means++.
Initialize using a previous run of K-means.

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