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petolau
TSrepr:Time Series Representations
Methods for representations (i.e. dimensionality reduction, preprocessing, feature extraction) of time series to help more accurate and effective time series data mining. Non-data adaptive, data adaptive, model-based and data dictated (clipped) representation methods are implemented. Also various normalisation methods (min-max, z-score, Box-Cox, Yeo-Johnson), and forecasting accuracy measures are implemented.
Maintained by Peter Laurinec. Last updated 5 years ago.
data-analysisdata-miningdata-mining-algorithmsdata-sciencerepresentationtime-seriestime-series-analysistime-series-classificationtime-series-clusteringtime-series-data-miningtime-series-representationscpp
97 stars 7.23 score 117 scripts