Clustering Under Perturbation Stability in Near-Linear Time Article Swipe
YOU?
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· 2020
· Open Access
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· DOI: https://doi.org/10.4230/lipics.fsttcs.2020.8
We consider the problem of center-based clustering in low-dimensional Euclidean spaces under the perturbation stability assumption. An instance is α-stable if the underlying optimal clustering continues to remain optimal even when all pairwise distances are arbitrarily perturbed by a factor of at most α. Our main contribution is in presenting efficient exact algorithms for α-stable clustering instances whose running times depend near-linearly on the size of the data set when α ≥ 2 + √3. For k-center and k-means problems, our algorithms also achieve polynomial dependence on the number of clusters, k, when α ≥ 2 + √3 + ε for any constant ε > 0 in any fixed dimension. For k-median, our algorithms have polynomial dependence on k for α > 5 in any fixed dimension; and for α ≥ 2 + √3 in two dimensions. Our algorithms are simple, and only require applying techniques such as local search or dynamic programming to a suitably modified metric space, combined with careful choice of data structures.
Related Topics
- Type
- preprint
- Language
- en
- Landing Page
- https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.FSTTCS.2020.8
- OA Status
- green
- Cited By
- 1
- References
- 55
- Related Works
- 20
- OpenAlex ID
- https://openalex.org/W3090987474
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W3090987474Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.4230/lipics.fsttcs.2020.8Digital Object Identifier
- Title
-
Clustering Under Perturbation Stability in Near-Linear TimeWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2020Year of publication
- Publication date
-
2020-01-01Full publication date if available
- Authors
-
Pankaj K. Agarwal, Hsien-Chih Chang, Kamesh Munagala, Erin Taylor, Emo WelzlList of authors in order
- Landing page
-
https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.FSTTCS.2020.8Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.FSTTCS.2020.8Direct OA link when available
- Concepts
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Cluster analysis, Combinatorics, Mathematics, Time complexity, Euclidean space, Metric space, Dimension (graph theory), Perturbation (astronomy), Pairwise comparison, Euclidean geometry, Discrete mathematics, Physics, Geometry, Statistics, Quantum mechanicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
1Total citation count in OpenAlex
- Citations by year (recent)
-
2024: 1Per-year citation counts (last 5 years)
- References (count)
-
55Number of works referenced by this work
- Related works (count)
-
20Other works algorithmically related by OpenAlex
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