Max Visible Elements
Confidence Interval (%)
Cluster


Windowed clustered correlation matrix

Computes correlation coefficients and confidence intervals and clusters them hierarchically. To enable high-performance analysis of large data sets, adjustable 2D windowing is used to compute correlation coefficients and confidence intervals only for visible variables (if clustering is disabled) and render only those to the DOM (irrespective of the application of clustering).

Variables marked with an asterix are log-transformed.