Discuss whether the K$-$means algorithm was an appropriate method for identifying clusters in this particular data set by referring to at least two elements of the data set that contributed to your decision.

The following are some elements that you could take into consideration to justify your answer:

$$ Discuss the applicability of the K$-$means algorithm for the number of observations in the data set. Compare this data set with one that has substantially more observations $($e$.$g$.900,000$ vs the present $12,000).$

$$ There were some outliers in the data set. How do you think this can influence the predictive capability of the analysis