emanuel996/maniwarp: It aligns two sequentially ordered high-dimensional data sets by combining traditional manifold alignment and dynamic time warping algorithms.

Knowledge transfer is computationally challenging, due in part to the curse of dimensionality. Recent work on manifold learning has shown that data collected in real-world settings often have high-dimensional representations butlie on low-dimensional manifolds. It is critical to align these data sets and extract this common structure. The idea and theoretical formulation is from https://people.cs.umass.edu/~ccarey/pubs/ManifoldWarping.pdf.

install.packages("remotes")
remotes::install_github("emanuel996/maniwarp")