DouglasPeucker

a 2D matrix with the coordinates of 2D points

points

an number between 0 and 1. Recomended 0.01.

epsilon

Ramer-Douglas-Peucker algorithm for curve fitting with a PolyLine

In the framework of Symbolic Data Analysis, a relatively new
approach to the statistical analysis of multi-valued data, we consider
histogram-valued data, i.e., data described by univariate histograms. The
methods and the basic statistics for histogram-valued data are mainly based
on the L2 Wasserstein metric between distributions, i.e., the Euclidean metric
between quantile functions. The package contains unsupervised classification
techniques, least square regression and tools for histogram-valued data and for
histogram time series. An introducing paper is Irpino A. Verde R. (2015) <doi:10.1007/s11634-014-0176-4>.

DouglasPeucker: Ramer-Douglas-Peucker algorithm for curve fitting with a PolyLine

Description

Usage

Arguments

Value

See Also