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**We working with k-means clustering***
***Be sure to provide any formulas or equations you used and support to defend your
reasoning*** 1. Given 1,000 observations where each observation has 11 dimensions (features),
what value of k will produce the lowest mean squared distance error? Hint: I have not told you
anything about the distribution. It does not matter! 2. Given the same 1,000 observations, which
value of k will have the largest mean squared distance error?

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  • 1. **We working with k-means clustering*** ***Be sure to provide any formulas or equations you used and support to defend your reasoning*** 1. Given 1,000 observations where each observation has 11 dimensions (features), what value of k will produce the lowest mean squared distance error? Hint: I have not told you anything about the distribution. It does not matter! 2. Given the same 1,000 observations, which value of k will have the largest mean squared distance error?