Monday, September 9, 2019

Six Degrees of Separation Between Any Two Data Sets

This is an interesting data science conjecture, inspired by the well known six degrees of separation problem, stating that there is a link involving no more than 6 connections between any two people on Earth, say between you and anyone living (say) in North Korea.   
Here the link is between any two univariate data sets of the same size, say Data A and Data B. The claim is that there is a chain involving no more than 6 intermediary data sets, each highly correlated to the previous one (with a correlation above 0.8), between Data A and Data B. The concept is illustrated in the example below, where only 4 intermediary data sets (labeled Degree 1, Degree 2, Degree 3, and Degree 4) are actually needed. 
Correlation table for the 6 data sets
The view the (random) data sets, understand how the chain of intermediary data sets was built, and access the spreadsheets to reproduce the results or test on different data, follow this link. It makes for an interesting theoretical data science research project, for people with too much free time on their hands. 

No comments:

Post a Comment

Note: Only a member of this blog may post a comment.

Machine Learning Perspective on the Twin Prime Conjecture

  This article focuses on the machine learning aspects of the problem, and the use of pattern recognition techniques leading to interesting,...