A practical approach to cluster validation in the energy sector

A practical approach to cluster validation in the energy sector

Abstract With increasing digitization, new opportunities emerge concerning the availability and use of data in the energy sector. A comprehensive literature review shows an abundance in available unsupervised clustering algorithms as well as internal, relative and external cluster validation indices...

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Bibliographic Details
Main Authors: Alexander Bogensperger, Yann Fabel
Format: Article
Language:English
Published: SpringerOpen 2021-09-01
Series:Energy Informatics
Subjects:
Unsupervised machine learning
Clustering
Cluster validation
MCDA
Energy
Online Access:https://doi.org/10.1186/s42162-021-00177-1

Internet

https://doi.org/10.1186/s42162-021-00177-1

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