Distant Cluster Search: Welcoming some Newcomers from the EIS

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We present a new automated cluster search algorithm, stressing its advantages relatively to others available in the literature. Applying it to the photometric data of the ESO Imaging Survey (EIS, Renzini & da Costa 1997) allowed us to produce, with a high degree of confidence, a new catalogue of cluster candidates up to z approximately equal to 1.1.
2 pages, LaTeX file (using the new PASP package newpasp.sty). To appear in the proceedings of the 1999 Marseille Conference "Clustering at High Redshift", A. Mazure, O. Le Fevre, V. Le Brun eds

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