A data matrix stores the n data objects in the form of a relational table, or n$-$by$-$p matrix $($n objects x p attributes$).$

A dissimilarity matrix stores a collection of proximities that are available for all pairs of n objects.

A data matrix is made up of two entities or $$things$,$ namely rows $($for objects$)$ and columns $($for attributes$).$

All of the above