Either i. a clustering or feature allocation distribution or ii. a
collection of clusterings or feature allocations. If x
is a
B
-by-n
matrix, each of the B
rows represents a
clustering of n
items using cluster labels. For clustering
b
, items i
and j
are in the same cluster if
x[b,i] == x[b,j]
. If x
is a list of length B
, each
element of list represents a feature allocation using a binary matrix of
n
rows and an arbitrary number of columns. For feature allocation
b
, items i
and j
share m
features if, for
k
= 1, 2, ..., the expression x[[b]][i,k] == x[[b]][j,k] == 1
is true exactly m
times.