  We present a new cluster-finding algorithm based on a combination of the
Voronoi Tessellation and Friends-Of-Friends methods. The algorithm utilises
probability distribution functions derived from a photometric redshift
analysis. We test our algorithm on a set of simulated cluster-catalogues and
have published elsewhere its employment on UKIDSS Ultra Deep Survey infrared J
and K data combined with 3.6 micro-m and 4.5 micro-m Spitzer bands and optical
BVRi'z' imaging from the Subaru Telescope. This pilot study has detected
clusters over 0.5 square degrees in the Subaru XMM-Newton Deep Field. The
resulting cluster catalogue contains 13 clusters at redshifts 0.61 <= z <= 1.39
with luminosities 10 L* <~ L_tot <~ 50 L*.
