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Improved approximations for Euclidean k-means and k-median, via nested quasi-independent sets
被引:0
|
作者
:
Cohen-Addad, Vincent
论文数:
0
引用数:
0
h-index:
0
机构:
Google Research, Zurich, Switzerland
Google Research, Zurich, Switzerland
Cohen-Addad, Vincent
[
1
]
Esfandiari, Hossein
论文数:
0
引用数:
0
h-index:
0
机构:
Google Research, New York City,NY, United States
Google Research, Zurich, Switzerland
Esfandiari, Hossein
[
2
]
Mirrokni, Vahab
论文数:
0
引用数:
0
h-index:
0
机构:
Google Research, New York City,NY, United States
Google Research, Zurich, Switzerland
Mirrokni, Vahab
[
2
]
Narayanan, Shyam
论文数:
0
引用数:
0
h-index:
0
机构:
Massachusetts Institute of Technology, Cambridge,MA, United States
Google Research, Zurich, Switzerland
Narayanan, Shyam
[
3
]
机构
:
[1]
Google Research, Zurich, Switzerland
[2]
Google Research, New York City,NY, United States
[3]
Massachusetts Institute of Technology, Cambridge,MA, United States
来源
:
Proceedings of the Annual ACM Symposium on Theory of Computing
|
2022年
关键词
:
Compilation and indexing terms;
Copyright 2025 Elsevier Inc;
D O I
:
暂无
中图分类号
:
学科分类号
:
摘要
:
K-means clustering
引用
收藏
页码:1621 / 1628
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