FSMUMImputation

a multivariate signals containing gaps

data

threshold used to determine a gap is large

large_gap_threshold

increment used for finding the threshold

step_threshold

increment used for retrieving a similar sequences to the queries

step_finding

Fill large gaps in low or uncorrelated multivariate time series using the fuzzy-weighted similarity measure

Filling large gaps in low or uncorrelated multivariate time series uses a new fuzzy weighted similarity measure. It contains all required functions to create large missing consecutive values within time series and then fill these gaps, according to the paper Phan et al. (2018), <DOI:10.1155/2018/9095683>. Performance indicators are also provided to compare similarity between two univariate signals (incomplete signal and imputed signal).

FSMUMImputation: Imputing large gaps based on the new fuzzy-weighted similarity measure

Description

Usage

Arguments

Value