You have fit a k$-$means algorithm with six clusters. The results are visualized below. Based on the plot, which statement is true?

k$-$means plot

Group of answer choices

There is overlap between many of the clusters, which indicates there is no significant difference between some clusters and as such fewer clusters $($k$)$ should be evaluated.

There is good separation between the clusters. There is no need to try to fit a different number of clusters.

There is good separation between the clusters. Each cluster is similar to each member in the cluster, but appears to be different from other clusters.

There is significant overlap between many of the clusters, but the added complexity is providing adequate separation.