Dialect Clustering Methodology

Bruno explains a straightforward yet effective approach to dialect clustering using a global grid system. By constructing a matrix that correlates geographical cells with dominant words, he applies principal component analysis and K-means clustering to reveal distinct dialect groups. The analysis highlights a significant population disparity between urban and rural clusters, leading to a deeper understanding of local dialect variations.