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Settings used for this AutoCluster analysis

A single group was defined, we'll start by downloading DNA matches from this group. For group 1006 a total number of 164 matches was retrieved. A total of 164 matches were retrieved (min: 20.0 cM max: 107.0). A total of 0 group member matches were added to the main list of DNA matches. Using the following Ancestry groups: 1006, an AutoCluster analysis was performed. First, a total number of 50075 DNA matches and 2716 shared matches were downloaded. The last DNA match (M.K. Claire Smith) from this initial download shares a total of 6.0 cM. Next, the AutoCluster analysis tries to download shared matches for as many DNA matches as possible. For 943 DNA matches we were able to download shared matches. We stopped downloading shared matches after the 943th DNA match (E.M. Hugh Lockhart sharing 19.0 cM) since that match shares less cM than the minimum cM threshold. As requested, cM thresholds of 250 cM and 20 cM were used. A total number of 164 matches were identified that were used for a AutoCluster analysis. There should be one ZIP file attached to this email. The unzipped files contain an HTML file that holds a visual representation of the AutoCluster analysis if enough matches were present for the clustering analysis. The unzipped Excel file holds the matches from the clustering as well as the compelete matches in several worksheets. 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 following 9 matches met the inclusion parameters but were placed in an cluster without other members and so are not included in the chart: Steve Mckechnie, Kenneth Faigh, Esther Cameron, Michael Johnston, Jane Westergaard-Nimocks, Jacqueline Henz, Cassidy Cunningham, jimmydfyfe, vickimagee_1

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 and in addition relevant blog posts from Dana Leeds

AutoCluster Cluster Information


Blog posts and YouTube

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

DNAeXplained – Genetic Genealogy - Genetic Affairs Reconstructs Trees from Genetic Clusters – Even Without Your Tree or Common Ancestors
Dana Leeds blog
How I Used DNA to Find My Cousin's Great-Grandfather
Kitty Cooper's blog - Automatic Clustering from Genetic Affairs
Kitty Cooper's blog - More Clustering Tools!
Larry Jones YouTube series - Genetic Affairs v1 - Auto Clustering and Auto Tree Basics
Larry Jones YouTube series - Super Clustering DNA matches from Ancestry with FTDNA and 23andMe!
Larry Jones YouTube series - Master Class (001) - Using Genetic Affairs with Ancestry DNA Match Clusters to break past walls!
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
The Intrepid Sleuth - Genetic Affairs AutoCluster's How does that work??


In addition, don't forget to visit our Genetic Affairs - user group on Facebook.

















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!

Disclaimer

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.