DTWBI (version 1.1)

DTWBI-package: DTWBI

Description

DTWBI

Details

DTWBI

References

Thi-Thu-Hong Phan, Emilie Poisson-Caillault, Alain Lefebvre, Andre Bigand. Dynamic time warping- based imputation for univariate time series data. Pattern Recognition Letters, Elsevier, 2017, <DOI:10.1016/j.patrec.2017.08.019>. <hal-01609256>

Examples

# NOT RUN {
# Load package dataset
data(dataDTWBI)

# Create a query and a reference signal
query <- dataDTWBI$query
ref <- dataDTWBI$query

# Create a gap within query (10% of signal size)
query <- gapCreation(query, rate = 0.1)
data <- query$output_vector
begin_gap <- query$begin_gap
size_gap <- query$gap_size

# Fill gap using DTWBI algorithm
results_DTWBI <- DTWBI_univariate(data, t_gap = begin_gap, T_gap = size_gap)

# Plot
plot(ref, type = "l")
lines(results_DTWBI$output_vector, col = "red", lty = "dashed")

# Compute the similarity of imputed vector and reference
compute.sim(ref, results_DTWBI$output_vector)
# }