Density peaks algorithm based on information entropy and merging strategy for power load curve clustering

To solve the problems of density peaks clustering (DPC) algorithm sensitive to cutoff distance and subjectivity of clustering center selection, we propose an improved density peaks algorithm based on information entropy and merging strategy (DPC-IEMS) for realizing power load curve clustering. First...

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Bibliographic Details
Published in:	The Journal of supercomputing Vol. 80; no. 7; pp. 8801 - 8832
Main Authors:	Yang, Yumeng, Wang, Li, Cheng, Zizhen
Format:	Journal Article
Language:	English
Published:	New York Springer US 01.05.2024 Springer Nature B.V
Subjects:	Algorithms Cluster analysis Clustering Compilers Computer Science Datasets Density Electricity Entropy Entropy (Information theory) Interpreters Optimization Processor Architectures Programming Languages Search algorithms Tariffs Validity Density peaks clustering algorithm Power load curve clustering Merging strategy Information entropy
ISSN:	0920-8542, 1573-0484
Online Access:	Get full text
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