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Vangumalli et al., 2019 - Google Patents

Clustering, Forecasting and Cluster Forecasting: using k-medoids, k-NNs and random forests for cluster selection

Vangumalli et al., 2019

View PDF
Document ID
11438234789774951648
Author
Vangumalli D
Nikolopoulos K
Litsiou K
Publication year
Publication venue
Bangor Business School, Prifysgol Bangor University (Cymru/Wales), Working Papers

External Links

Snippet

Data analysts when facing a forecasting task involving a large number of time series, they regularly employ one of the following two methodological approaches: either select a single forecasting method for the entire dataset (aggregate selection), or use the best forecasting …
Continue reading at e-space.mmu.ac.uk (PDF) (other versions)

Classifications

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    • G06—COMPUTING; CALCULATING; COUNTING
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