The Parallel Seeding Algorithm for k-Means Problem with Penalties
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Publication:5149519
DOI10.1142/S0217595920400059zbMath1459.90185MaRDI QIDQ5149519
Dongmei Zhang, Jun Yue, Da-Chuan Xu, Min Li
Publication date: 11 February 2021
Published in: Asia-Pacific Journal of Operational Research (Search for Journal in Brave)
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- Clustering by Passing Messages Between Data Points
- A local search approximation algorithm for \(k\)-means clustering
- Clustering large graphs via the singular value decomposition
- NP-hardness of Euclidean sum-of-squares clustering
- The seeding algorithm for \(k\)-means problem with penalties
- The seeding algorithms for spherical \(k\)-means clustering
- An improved approximation algorithm for the \(k\)-means problem with penalties
- Local search approximation algorithms for the \(k\)-means problem with penalties
- Approximation algorithms for metric facility location and k -Median problems using the primal-dual schema and Lagrangian relaxation
- Adaptive Sampling for k-Means Clustering
- Least squares quantization in PCM
- Better Guarantees for $k$-Means and Euclidean $k$-Median by Primal-Dual Algorithms
- The effectiveness of lloyd-type methods for the k-means problem
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