Local Search Approximation Algorithms for the Spherical k-Means Problem

Author(s):  
Dongmei Zhang ◽  
Yukun Cheng ◽  
Min Li ◽  
Yishui Wang ◽  
Dachuan Xu
2021 ◽  
Vol 853 ◽  
pp. 65-77 ◽  
Author(s):  
Dongmei Zhang ◽  
Yukun Cheng ◽  
Min Li ◽  
Yishui Wang ◽  
Dachuan Xu

2019 ◽  
Vol 74 (4) ◽  
pp. 909-932
Author(s):  
Dongmei Zhang ◽  
Dachuan Xu ◽  
Yishui Wang ◽  
Peng Zhang ◽  
Zhenning Zhang

2018 ◽  
Vol 37 (2) ◽  
pp. 439-453 ◽  
Author(s):  
Dongmei Zhang ◽  
Chunlin Hao ◽  
Chenchen Wu ◽  
Dachuan Xu ◽  
Zhenning Zhang

2017 ◽  
Vol 252 ◽  
pp. 187-200 ◽  
Author(s):  
Wenjun Li ◽  
Yixin Cao ◽  
Jianer Chen ◽  
Jianxin Wang

1999 ◽  
Vol 6 (39) ◽  
Author(s):  
Romeo Rizzi

<p>Let G = (V,E) be an undirected simple graph and w : E -> R+ be<br />a non-negative weighting of the edges of G. Assume V is partitioned<br />as R union X. A Steiner tree is any tree T of G such that every node<br />in R is incident with at least one edge of T. The metric Steiner tree<br />problem asks for a Steiner tree of minimum weight, given that w is a<br />metric. When X is a stable set of G, then (G,R,X) is called quasi-bipartite.<br /> In [1], Rajagopalan and Vazirani introduced the notion of<br />quasi-bipartiteness and gave a ( 3/2 + epsilon) approximation algorithm<br /> for the metric Steiner tree problem, when (G,R,X) is quasi-bipartite. In this<br />paper, we simplify and strengthen the result of Rajagopalan and Vazirani.<br />We also show how classical bit scaling techniques can be adapted<br />to the design of approximation algorithms.</p><p>Key words: Steiner tree, local search, approximation algorithm, bit scaling.</p><p> </p>


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