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Using the dynamic time warping algorithm to cluster subsurface lithological data

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modhurita/dynamic-time-warping

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dynamic-time-warping

This project uses the Dynamic Time Warping (DTW) algorithm to cluster stacks of voxels representing the subsurface of a region in the province of Flevoland in the Netherlands. Two stacks are similar if they have a similar order of lithologies (clay, sand, peat), though the thicknesses of these layers may vary between individual stacks.

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Using the dynamic time warping algorithm to cluster subsurface lithological data

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