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Settings used for this AutoCluster analysis

First, a total number of 6050 DNA matches and 1293 shared matches were downloaded. The last DNA match (John F. Kennedy) from this initial download shares a total of 6.0773 cM. Next, the AutoCluster analysis tries to download shared matches for as many DNA matches as possible. For 44 DNA matches we were able to download shared matches. We stopped downloading shared matches after the 44th DNA match (betty sanning sharing 68.4876 cM) since that match shares less cM than the minimum cM threshold. As requested, cM thresholds of 400 cM and 70 cM were used. A total number of 32 matches were identified that were used for a AutoCluster analysis. There should be two zipped CSV files attached to this email and if enough matches can be clustered, an additional zipped HTML file. The first zipped CSV file contains all matches that were identified. The second zipped CSV file contains a spreadsheet version of the AutoCluster analysis. The unzipped HTML file will contain a visual representation of the AutoCluster analysis if enough matches were present for the clustering analysis. Please note that some files might be displayed incorrectly when directly opened from this email. Instead, save the zip files to your local drive, unzip them and then open the files.

Note: The match Ronald Reagon met the inclusion parameters but is not included in the chart since it was placed in an cluster without other members.

Explanation of AutoCluster analysis

AutoCluster organizes your matches into shared match clusters that likely represent branches of your family. Each of the colored cells represents an intersection between two of your matches, meaning, they both match you and each other. These cells in turn are grouped together both physically and by color to create a powerful visual chart of your shared matches clusters. * *

Each color represents one shared match cluster. Members of a cluster match you and most or all of the other cluster members. Everyone in a cluster will likely be on the same ancestral line, although the MRCA between any of the matches and between you and any match may vary. The generational level of the clusters may vary as well. One may be your paternal grandmother’s branch, another may be your paternal grandfather’s father’s branch.

You may see several gray cells that do not belong to any color-grouped cluster. They usually represent a shared match where one of the two cousins is too closely related to you to belong to just one cluster. Each of these cousins belongs to a color-grouped cluster, the gray cell indicates that one of them belongs in both clusters. Unfortunately, the underlying code does not support multiple cluster membership.

* * For more information on match clustering, see Bettinger, Blaine T. “Clustering Shared Matches,” The Genetic Genealogist, 3 January 2017.

AutoCluster Cluster Information

Blog posts and YouTube

Various blog posts and YouTube clips have been created concerning the usage of AutoCluster of Genetic Affairs.

The Intrepid Sleuth - Genetic Affairs AutoCluster – How does that work??
Kitty Cooper's blog - Automatic Clustering from Genetic Affairs
Kitty Cooper's blog - More Clustering Tools!
DNAeXplained – AutoClustering by Genetic Affairs
Hartley DNA & genealogy - A New Look for AutoClusters
Behold Genealogy - Genetic Affairs Clustering at 23andMe
Anne's Family History - DNA: experimenting with reports from GeneticAffairs.com
DNAsleuth - Clustering Tools for DNA matches
Genea Musings - Using GeneticAffairs.com to Create DNA Match AutoClusters
HistorTree - Analyzing DNA Auto-Clusters with Pedigree Collapse
MyHeritage DNA - Introducing AutoClusters for DNA Matches
The Genealogy Guys Blog - Genetic Affairs, a New DNA Tool
Matt's Genealogy Blog - Auto-Clustering of DNA Matches

Found or created a nice blog post/YouTube video concerning AutoCluster or Genetic Affairs? Please contact us and we'll add the link or video to this list!


Although every attempt is made to include every shared match triangulation that falls within the user selected parameters, there is no guarantee that all such triangulations are included in any AutoCluster matrix or in the corresponding data table. Please verify all match instances and characteristics at the original test site. And, as with DNA evidence in any format, no genealogical conclusions should be drawn based only upon data found within any AutoCluster output.