Local Principal Curve Methods
Coverage and self-coverage plots.
Fit an individual branch of a local principal curve.
Auxiliary kernel and distance functions.
Auxiliary parameters for controlling local principal curves.
Projection onto LPC
Local principal curves
Representing local principal curves through a cubic spline.
Auxiliary functions for spline fitting and projection.
Local principal curve methods
Mean shift clustering.
Mean shift procedures.
Plotting local principal curves and mean shift trajectories
Printing output for lpc, lpc.spline, and ms objects
Measuring goodness-of-fit for principal objects.
Unscaling local principal objects.
Fitting multivariate data patterns with local principal curves, including tools for data compression (projection) and measuring goodness-of-fit; with some additional functions for mean shift clustering. See Einbeck, Tutz and Evers (2005) <doi:10.1007/s11222-005-4073-8> and Ameijeiras-Alonso and Einbeck (2023) <doi:10.1007/s11634-023-00575-1>.