Determine Data preprocessing methods and Distance metric to apply for each of your Clustering algorithm. $2.$ For each clustering algorithm, $2-1.$ Compare the quality of clusters to identify the best input parameters. For each result in your experiment, evaluate the quality of each cluster result with an evaluation method discussed in the Lecture notes $($Ward$\text{'}$s method, Silhouette score, Elbow method$)$ to Measure the quality of the Cluster