Unsupervised ensemble learning methods for time series forecasting. Bootstrap aggregating (bagging) for double-seasonal time series forecasting and its ensembles.
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Updated
Nov 19, 2018 - R
Unsupervised ensemble learning methods for time series forecasting. Bootstrap aggregating (bagging) for double-seasonal time series forecasting and its ensembles.
Clustering-based Forecasting Method for Individual End-consumer Electricity Consumption Using Smart Grid Data
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Code used in the paper "Time Series Clustering via Community Detection in Networks"
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TSrepr: R package for time series representations
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Package to develop and evaluate time series data models based on fluctuation based clustering and Earth Mover's Distances
An R/Shiny web app for visualisation, analysis and clustering of time-series.
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