RedundancyReduction: Redundancy reduction process using SOM clustering and Dynamic...

In cvitolo/amca: Automatic Model Configuration Algorithm (AMCA)

Description

Redundancy reduction process using SOM clustering and Dynamic Time Warping.

Usage

RedundancyReduction(PF, observedQ, parameters, deltim, ResultsFolder,
  ObsIndicesNames, verbose = FALSE)

Arguments

PF	Pareto Frontier
observedQ	observed discharge (warmup removed)
parameters	This is a named data frame containing the parameter table, where each column corresponds to a parameter and each row to a realization.
deltim	time step for FUSE simulations
ResultsFolder	Path to the folder containing results from MC simulations.
ObsIndicesNames	is the list of indices names.
verbose	if set to TRUE it prints running information (default = FALSE)

Details

This function removes redundant realizations by extracting the realization with the best DTW score from each cluster.

Value

A subset of the table containing the filtered configurations.

Examples

# RedundancyReduction(PF, observedQ, ResultsFolder, ObsIndicesNames)

cvitolo/amca documentation built on May 28, 2019, 7:49 p.m.