K-Means is called a simple or flat partitioning algorithm, because it just gives us a single set of clusters, with no particular organization or structure within them. In contrast, hierarchical clustering not only gives us a set of clusters but the structure (hierarchy) among data points within each cluster. For example, If we are clustering images, we might want not just to have a cluster of flowers, but roses and marigolds within that.Group of answer choicesTrueFalse