URGENT PLEASE HELP

Suppose that you ran the k-Means algorithm and the GMM on the data for a given range for the number of clusters. You have computed the silhouette index for the k-Means clustering performance, and computed the rand index to compare the clustering results between k-Means and GMM. This is the plot you obtained: 0.80 0.68 0.66 0.75 0.64 +0.70 0.62 0.65 Silhouette Index Rand Index 0.60 0.60 0.58 0.55 0.56 0.50 0.54 10 Number of Clusters 1. What should be the best choice for the number of clusters (for each index measure) based on the results shown in this figure? Explain your reasoning. 2. Do both measures (silhouette index and rand index) agree on the best number of clusters? Explainwhat this may indicate about the true underlying data clusters. Suppose that you ran the k-Means algorithm and the GMM on the data for a given range for the number of clusters. You have computed the silhouette index for the k-Means clustering performance, and computed the rand index to compare the clustering results between k-Means and GMM. This is the plot you obtained: 0.80 0.68 0.66 0.75 0.64 +0.70 0.62 0.65 Silhouette Index Rand Index 0.60 0.60 0.58 0.55 0.56 0.50 0.54 10 Number of Clusters 1. What should be the best choice for the number of clusters (for each index measure) based on the results shown in this figure? Explain your reasoning. 2. Do both measures (silhouette index and rand index) agree on the best number of clusters? Explainwhat this may indicate about the true underlying data clusters