kdfilterImportantPoints: Filter function

In jpison/KDSeries: Knowdledge Discovery in Time Series package

Description

Function that gives back the most important points of a function.

Usage

kdfilterImportantPoints <- function (TSerie, R,type="points")

Arguments

TSerie	Time Series.
R	rate compression.Values beetween 1 and 1.9
type	Style important points plot.

Value

This function returns a list that contains tree elements: the important points values, the positions of these ones, and the compression rate (respect of the original series).The important points usually are the zerocrossing values (view zerocrossing function).

Author(s)

Francisco Javier Martinez de Pisón.
[e-mail]

Miguel Lodosa Ayala.
[e-mail]

References

Pernia Espinoza, A.V. "TAO"

Simon Haykin. Neural Networks. A comprehensive foundation. 2nd Edition.

jpison/KDSeries documentation built on May 10, 2019, 12:09 a.m.