What is the difference between k-means and Ward's method?

Group of answer choices

K-means is for unsupervised classification but Wards method is not

K-means limits number of clusters to 10, but number of cluster in Wards method has no limit

In Wards method, each observation is considered a cluster, and the clusters are hierarchically joined; but in K-means, K clusters are selected.

In Wards method, all input variables are continuous, but K-means can handle both continuous and categorical.