Applications of monitoring and tracing the evolution of clustering solutions in dynamic datasets
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Publication:6107634
DOI10.1080/02664763.2021.2008882OpenAlexW4200305756MaRDI QIDQ6107634
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Publication date: 3 July 2023
Published in: Journal of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10013378
Cites Work
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- Estimating the Number of Clusters in a Data Set Via the Gap Statistic
- Mining frequent closed itemsets from a landmark window over online data streams
- Adaptively constrained dynamic time warping for time series classification and clustering
- Partitional clustering via nonsmooth optimization. Clustering via optimization
- Cluster Analysis
- A Survey of Recent Advances in Hierarchical Clustering Algorithms
- An evaluation of data stream clustering algorithms