Approximating ( k,ℓ )-Median Clustering for Polygonal Curves
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Publication:6051930
DOI10.1145/3559764arXiv2009.01488MaRDI QIDQ6051930
Anne Driemel, Maike Buchin, Unnamed Author
Publication date: 23 October 2023
Published in: ACM Transactions on Algorithms (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2009.01488
Cites Work
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- A proposal for robust curve clustering
- Graph clustering
- A global averaging method for dynamic time warping, with applications to clustering
- Correlation clustering
- Summarizing a set of time series by averaging: from Steiner sequence to compact multiple alignment
- Computing the Fréchet distance between simple polygons
- Hierarchical clustering schemes
- Clustering for metric and nonmetric distance measures
- Clustering by Compression
- On coresets for k-means and k-median clustering
- Unsupervised Curve Clustering using B‐Splines
- Clustering time series under the Fréchet distance
- COMPUTING THE FRÉCHET DISTANCE BETWEEN TWO POLYGONAL CURVES
- Functional Clustering and Identifying Substructures of Longitudinal Data
- Approximating (k, ℓ)-center clustering for curves
- Jaywalking Your Dog: Computing the Fréchet Distance with Shortcuts
- A unified framework for approximating and clustering data
- On the Hardness of Computing an Average Curve.
- Coresets for \((k, \ell ) \)-median clustering under the Fréchet distance
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