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Explain with proper diagram and in easy explanation how the K means clustering produces a form of stochastic hill climbing in the log Likelihood function
Explain with proper diagram and in easy explanation how the K means clustering produces a form of stochastic hill climbing in the log Likelihood function without copy pasting please explain because i am not understanding why stochastic hill climbing in log likelihood is used in K means algorithm.
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