Analysis due Oct 6, 2021 14:59 EEST 11. Visualizing cluster means 1 point possible (graded) Compute the mean value of the data points in each cluster that you found using K-means. For this computation of mean, use the data in full original dimensions instead of the PCA projections (so if the data matrix is n x d and you found k clusters, your cluster means should be k vectors in d dimensions.) Visualize the k cluster means in 2-dimensional space using MDS and PCA. Which of the following best explains the difference between this plot and the T-SNE plot? (Choose all that apply.) The MDS and PCA plots confirm there are 3 groups of clusters, one group with 1 cluster mean and two groups with 2 cluster means each. O The T-SNE plots confirm there are 3 groups of clusters, one group with 1 cluster mean and two groups with 2 cluster means each. The PCA and MDS plots show relatively accurate representation of distances, with one cluster means far away from the others, indicating a different type of cell. The T-SNE plots show relatively accurate representation of distances, with one cluster means far away from the others, indicating a different type of cell. O The PCA and MDS plots do not show any grouping of the cluster means, and place them at similar distances apart The T-SNE does not show any grouping of the cluster means, and place them at similar distances apart