A novel clustering model is presented for three-way data that refer to a set of units on which variables are measured or collected at different occasions. The proposal originates from the CPclus model [9], where both clusters of units and components for variables and occasions are identified in a k-means based framework. Here we develop a hierarchical variant, called H-CPclus, which is implemented using a divisive approach, where the non-hierarchical model is applied recursively to obtain nested partitions. This allows the results to be displayed in a standard dendrogram fashion.