When you cluster DNA matches into cousin groups, you're essentially reverse-engineering your family tree from genetic data alone—finding which matches descend from the same grandparent or great-grandparent even before you know their names. This groups the noise into signal, letting you see family patterns hidden in raw match data.
Cluster analysis in genealogy is a method of grouping DNA matches by shared segments to identify which ancestral family line each match belongs to. It transforms a chaotic list of hundreds of DNA matches into organized family clusters that point to specific branches of your family tree.
AI tools can automate the clustering process, label likely family lines, and flag outlier matches that may reveal unknown relatives or misattributed parentage, turning raw DNA data into actionable research leads.
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