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含噪声部分信息的相关聚类

Correlation Clustering with Noisy Partial Information
课程网址: https://videolectures.net/videos/colt2015_vijayaraghavan_partial_...  
主讲教师: Aravindan Vijayaraghavan
开课单位: 信息不详。欢迎您在右侧留言补充。
开课时间: 2015-08-20
课程语种: 英语
中文简介:
本文提出并研究了任意图g上相关聚类问题的半随机模型,并在此模型上给出了相关聚类实例的两种近似算法。第一种算法找到值$(1+ \delta)optcost + O的解_{\delta}(n\log^ 3n)$具有高概率,其中\optcost是最优解的值(对于每个$\delta > 0$)。第二种算法使用任意小的分类误差$\eta$(在实例的一些附加假设下)找到基础真理聚类。
课程简介: In this paper, we propose and study a semi-random model for the Correlation Clustering problem on arbitrary graphs G. We give two approximation algorithms for Correlation Clustering instances from this model. The first algorithm finds a solution of value $(1+ \delta)optcost + O_{\delta}(n\log^3 n)$ with high probability, where \optcost is the value of the optimal solution (for every $\delta > 0$). The second algorithm finds the ground truth clustering with an arbitrarily small classification error $\eta$ (under some additional assumptions on the instance).
关 键 词: 聚类问题; 高概率:真理聚类
课程来源: 视频讲座网
数据采集: 2025-04-07:zsp
最后编审: 2025-04-07:zsp
阅读次数: 7