dtw_partial | R Documentation |
Get the cheapest partial open end alignment of two time series
dtw_partial(x, partial_Q = TRUE, partial_C = TRUE, reverse = FALSE)
x |
result object of either |
partial_Q |
logical (default = TRUE), whether Q is aligned completely to C or open ended. |
partial_C |
logical (default = TRUE), whether C is aligned completely to Q or open ended. |
reverse |
logical (default = FALSE), whether Q and C are in original or reverse order. |
Q is the time series that describes the vertical dimension of the global cost matrix, so length(Q)
is equal to nrow(x$gcm)
. So C describes the horizontal dimension of the global cost matrix, length(C)
is equal to ncol(x$gcm)
.
dtw_partial()
returns the open-end alignment of Q and C with the minimal normalized distance.
If partial_Q
and partial_C
both are TRUE
the partial alignment with the smaller normalized distance is returned.
If Q and C are in reverse order, then the optimal solution for the reverse problem is found, that is the alignment with minimal normalized distance allowing and open-start alignment.
rangeQ |
Vector of initial and ending index for best alignment |
rangeC |
Vector of initial and ending index for best alignment |
normalized_distance |
the normalized DTW distance (see details in |
#--- Open-end alignment for multivariate time series. # First simulate a 2-dim time series Q Q <- matrix(cumsum(rnorm(50 * 2)), ncol = 2) # Then simulate C as warped version of Q, C <- simulate_timewarp(Q, stretch = 0.2, compress = 0.2, preserve_length = TRUE) # add some noise C <- C + rnorm(prod(dim(C))) # and append noise at the end C <- rbind(C, matrix(rnorm(30), ncol = 2)) tmp <- dtw(Q = Q, C = C, ws = 50, return_QC = TRUE, return_wp = TRUE) par <- dtw_partial(tmp, partial_C = TRUE) par plot(tmp, partial = par, type = "QC") plot(tmp, partial = par, type = "warp") plot(tmp, partial = par, type = "QC", selDim = 2) #--- Open-start is possible as well: Q <- sin(1:100) C <- c(rnorm(50), Q) tmp <- dtw(Q = rev(Q), C = rev(C)) dtw_partial(tmp, reverse = TRUE)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.