  We propose a new method of multiway clustering for 3-order tensors via
affinity matrix (MCAM). Based on a notion of similarity between the tensor
slices and the spread of information of each slice, our model builds an
affinity/similarity matrix on which we apply advanced clustering methods. The
combination of all clusters of the three modes delivers the desired multiway
clustering. Finally, MCAM achieves competitive results compared with other
known algorithms on synthetics and real datasets.
