资源说明:Dynamic Time Warping (DTW) algorithm implementation for .NET C#
NDtw ==== Dynamic Time Warping (DTW) algorithm implementation for .NET C# Features ==== * Single or multivariate * Data preprocessing options (none, centering, normalization, standardization) * Optional weights for variables * Manhattan, Euclidean, SquaredEuclidean distance measures * Optional boundary constraints (1, 1) and (m,n) * Sakoe-Chiba band * Ikatura paralelogram (custom slope constraint can be specified which results in such paralelogram) * C# code written with performance in mind (fast data structures, local variables caching for loops etc.) Three libraries: * NDtw (algorithm) * NDtw.Visualization.Wpf (visualization WPF user controls included: series and matrix) * NDtw.Examples (WPF example application for demonstration purposes) Usage: * very simple: var cost = new Dtw(seriesA, seriesB).GetCost(); * or much more complex initialization of Dtw class with various features Available on NuGet: * [NDtw](https://nuget.org/packages/NDtw) * [NDtw.Visualization.Wpf](https://nuget.org/packages/NDtw.Visualization.Wpf) Screenshots ==== ![DTW visualization](https://github.com/doblak/ndtw/raw/master/wiki/visualization-series.png) ![DTW visualization](https://github.com/doblak/ndtw/raw/master/wiki/visualization-matrix.png) Thanks to ==== * http://oxyplot.codeplex.com/, a great charting library * Sample data provider: 'Classification of individual consumption by purpose - 1998 (COICOP), source: Eurostat' * everyone else for various code snippets (mentioned in code) License ==== NDtw is released under the MIT license: www.opensource.org/licenses/MIT
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