Density Kernel Depth for Outlier Detection in Functional Data

The Density Kernel Depth (DKD) technique gives a nuanced strategy to detect outliers in practical information, providing readability in advanced datasets and making certain information high quality. Its software turns into essential as we navigate more and more intricate information landscapes.