Partitioning transduction can be thought of as top-down transduction. It is a semi-supervised extension of partition-based clustering. It is typically performed as follows:
Consider the set of all points to be one large partition.While any partition P contains two points with conflicting labels: Partition P into smaller partitions.For each partition P: Assign the same label to all of the points in P.
Of course, any reasonable partitioning technique could be used with this algorithm. Max flow min cut partitioning schemes are very popular for this purpose.