Grouping DNA matches by shared segments reveals which cousins are actually connected through the same ancestor rather than just distant relatives with scattered matches. This transforms a confusing list of hundreds of DNA matches into organized family branches you can actually work with.
Cluster analysis in genealogy is a method of grouping shared DNA matches into visual clusters that likely descend from the same ancestral couple, helping researchers identify which branch of their family tree each match belongs to. This technique transforms an overwhelming list of thousands of DNA matches into organized, color-coded groups that reveal family structure at a glance.
AI tools can automate the clustering process by analyzing shared match data across large datasets in minutes, a task that would take hours manually, allowing researchers to break through brick walls by identifying unknown common ancestors and prioritizing which matches to contact first.
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