Testimonials - jonathanbrecher/sharedclustering GitHub Wiki

Here are some comments about Shared Clustering provided by others, with some slight editing typically for length or to fix obvious typos.

These are personal opinions of someone else. Your mileage may vary!

Most recent on top.

  • I started playing with DNA tests 2 years ago but did not solve any of them. With Shared Clustering, I've solved 3 in 2 weeks. Walking the clusters back was the key. -K.S.

  • I really love this application. It's the first clustering app that I have been able to make sense of and use to further my research. -A.B.

  • Joel Hartley has written a detailed blog about using Shared Clustering to analyze his matches Walking My Clusters Back โ€“ Jim Bartlett Method. This is a VERY detailed blog, and possibly not the first thing that a new user of Shared Clustering should dive into. It has a LOT of good tips for an advanced user, though!

  • Jim Bartlett is working on a technique that uses Shared Clustering to analyze progressively more distant matches. Walking The Clusters Back. Also followups in Part II and Part III.

  • Ann Raymont has written a blog about Automated note updates with Shared Clustering. The blog gives a good overview of clustering in general and Shared Clustering in particular, before diving into the narrower topic of automated note updates.

  • Jim Bartlett has written a blog Shared Clustering โ€“ A Great Tool!

  • This is the biggest most exciting genetic genealogical development I've had since receiving the results of my first DNA test! -P.S.

  • I am no expert on this subject. I downloaded this tool out of desperation looking for something similar as you. I was extremely intimidated at the thought of it, but felt I needed just jump in an figure it out. And I am sooo thankful I did. -C.R.

  • The Shared Clustering tool (combined with GEDmatch) may have helped me open a possible answer to who may be the source of my Western European Y-DNA haplotype. A cluster of autosomal DNA (4th cousins to distant) matches all trace their common ancestry to a French merchant from Lyons... -R. S.

  • Jim Bartlett has an interesting post in his segment-ology blog describing how he used clustering to break through one of his brick walls. Although he doesn't mention Shared Clustering specifically, his techniques would apply with Shared Clustering also.

  • This is a powerful tool. The best shared-clustering tool I've used. Nice work. -D. R.

  • Aria Burrell has a nice example of analyzing her clusters (with many pictures) in the Farbrente Research Blog, along with comparisons to other clustering tools.

  • It's the best one I've ever tried and the MOST helpful because it helps me find the clusters within the tangled web of my father's endogamous Creole ancestors from Louisiana. -R. S.

  • Think of it as a clue detector. The clusters donโ€™t prove relationships, but they provide insights. - Andrea Ackermann, DNAsleuth: Genetic genealogy to find your roots! blog (This comment isn't specific to Shared Clustering, but it's an excellent way of looking at things!)

  • I just ran it on my own kit with a minimum of 20 cM and have about 70 clusters, many that I was unaware of before.... I've used the other available clustering tools but this one seems the easiest to use to me with all of the information that is right there on the spreadsheet. - R. C.

  • What I like best about it is the great explanation of how it works, which greatly simplifies interpretation of results and spotting of potential errors. It is also nice that the output is in a spreadsheet, which precludes unreadable graphs with too many names. - T. S.

  • Not 3 minutes, I need a stopwatch to tell you how fast it completed. - S. B.

  • I was able to confirm about 10 new matches that I hadn't previously been able to because of the way it groups and exposes common matches. - A. C.

  • I pinned down the fourth maternal cluster this past week - Cathy Meder-Dempsey, Opening Doors in Brick Walls blog