The SDSS has just announced its first official data release (see [http://www.sdss.org/dr1/]{}).

SDSS Cluster Catalogs {#algorithms}
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One of the fundamental science goals of the SDSS was to create new catalogs of clusters from both the imaging and spectroscopic data. In Table \[cats\], I present a brief overview of past and present efforts within the SDSS collaboration as part of the SDSS Cluster Working Group. In this table, I provide an appropriate reference if available, a brief description of the cluster–finding algorithm and the SDSS data being used to find clusters. Each of these algorithms have different strengthens and science goals, and a detailed knowledge of their selection functions is required before a fair comparison can be carried out between these different catalogs. The reader is referred to the review of Postman (2002) for more discussion of this point. However, Bahcall et al. (2003) has begun this process by performing a detailed comparison of the clusters found by both the AMF and maxBCG algorithms. The product of this work is a joint catalog of 799 clusters in the redshift range $0.05<z_{est}<0.3$ selected from $\sim400 {\rm deg^2}$ of early SDSS commissioning data.

      Name Reference                Data   Description
  -------- ----------------------- ------- --------------------------------------
    maxBCG 