[WIP] Add Support for Time-Series Clustering #132
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See https://eigen.tuxfamily.org/dox/TopicFunctionTakingEigenTypes.html for details on combining template functions and Eigen We use MatrixBase to avoid forcing evaluation of expression templates too aggressively
Template ConvexClustering on data type (typically double) to allow support for clustering complex data later
For now, we only do automatic phase alignment and do not touch amplitudes
- Add trout distance function - Add trout distance as option to weight schemes - Add complex distance
- Move proximal operators to template functions to reduce code duplication - Write Rcpp glue functions to dispatch on type of X - Update tests
- Move post-processing (tensor PCA projection and U smoothing) to template functions to allow real and complex data support - These depend on ClustRVizLogger so create a new header to implement them - Write R/C++ glue functions
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- Use using statements for template shortnames to simplify some internal code in templated classes and functions
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