Detecting galaxy clusters at 0.1

. We present a new cluster-finding algorithm based on a combina-tion of the Voronoi Tessellation and Friends-Of-Friends methods. The algorithm utilises probability distribution functions derived from a photometric redshift analysis and is tested on simulated cluster-catalogues. We use a 9 band photometric catalogue over 0.5 square degrees in the Subaru XMM-Newton Deep Field. The photometry is comprised of UKIDSS Ultra Deep Survey infrared J and K data combined with 3.6 µ m and 4.5 µ m Spitzer bands and optical BV Ri ′ z ′ imaging from the Subaru Telescope. The cluster catalogue contains 13 clusters at redshifts 0.61 ≤ z ≤ 1.39 with luminosities 10L ∗ ∼ < L tot ∼ < 50L ∗ .