Computes correlation coefficients and confidence intervals and clusters them hierarchically. For high-performance analysis of large datasets, adjustable 2D windowing is used to compute correlations for visible variables only (if clustering is disabled) and to render only those to the DOM (regardless of clustering).
To see the adjustable 2D windowing implementation in action, reduce the Max Visible Elements value until scrollbars appear.