Prototype-Based Time Series Clustering is a time series clustering method that partitions sequences into groups by representing each cluster with a single, central prototype sequence, such that intra-cluster dissimilarity is minimized through iterative refinement of these representative prototypes.
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2017–2026
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Time-Series Clustering in R Using the dtwclust Package
Alexis Sardá-Espinosa · The R Journal · 2019 · 200 citations · Full text
Computing, Data Science, Data Mining +11
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Universidad Complutense de Madrid
Madrid, Spain
2 h-index
4 publications
136 citations
University of Alberta
Edmonton, Canada
2 h-index
3 publications
146 citations
University of Malaya
Kuala Lumpur, Malaysia
1 h-index
1 publications
14 citations
Dalian Maritime University
Dalian, China
1 h-index
3 publications
66 citations
Chinese Academy of Sciences
Beijing, China
1 h-index
4 publications
96 citations
Systems Research Institute
Warsaw, Poland
1 h-index
1 publications
22 citations
King Abdulaziz University
Jeddah, Saudi Arabia
1 h-index
1 publications
62 citations
University of Chinese Academy of Sciences
Beijing, China
1 h-index
4 publications
96 citations
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- IEEE Transactions on Fuzzy Systems
TFS · 1 publications · 62 citations
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- Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition
Conference · 1 publications · 100 citations
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- International Journal of Wavelets Multiresolution and Information Processing
IJWMIP · 1 publications · 24 citations
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- The R Journal
1 publications · 200 citations
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