True$/$falsei$.$ The task of classification is to predict the category of an object according to a set of measurements. tii. The error rate of a classifier is the ratio of all incorrectly classified samples to the number of all available samples. tiii. Clustering is an example for supervised learning. tiv. Dendrograms are used for the graphical representation of sequences of hierarchical clustering. tv$.$ During the iteration of the k$-$means algorithm, empty clusters can occur. t