With the incoming of Big Data surveys such as LSST and eRASS$^D$, the ability for astronomers to "eye-ball" potential clusters in xray and optical datasets is becoming less feasible. I will discuss the tools developed to create 30,000+ classifications of SDSS and DES X-ray galaxy clusters, and the uses and development of machine learning tools in the XMM Cluster Survey (XCS).
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