National Voter Clusters
Beyond Democrats, Republicans and Independents: 6 major segments and 21 individual voter profiles built using advanced machine learning.
What is a Cluster?
Haystaq and VolSweep’s National Voter Clusters divide voters into six major voter segments and 21 individual voter profiles. Clusters are custom built using HAC – Hierarchical Agglomerative Clustering on L2’s National Voterfile and Haystaq issue scores.
This machine learning technique finds demographic and issue score commonalities between voters and groups these voters together, revealing patterns that go far beyond traditional partisan labels.
