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从聚类算法

From clustering to algorithms
课程网址: http://videolectures.net/oiml05_zecchina_ca/  
主讲教师: Riccardo Zecchina
开课单位: 都灵理工大学
开课时间: 2007-02-25
课程语种: 英语
中文简介:
在本次演讲中,我们首先提供了一个严格的概率证明,证明了在随机组合问题解决空间中发生的聚类现象。其次,我们将讨论有效探索聚类几何的调查传播方程的推广。最后,我们讨论通过描述“物理”有损压缩方案找到单个簇的可能性的计算结果。当底层物理模型中分离良好的簇的数量最大时,性能得到优化。
课程简介: In this talk we firstly provide a rigorous probabilistic proof of the clustering phenomenon taking place in the space of solution of random combinatorial problems. Secondly we will discuss a generalization of the survey propagation equations efficiently exploring the clustered geometry. Finally, we discuss the computational consequences of the possibility of finding single clusters by describing a \"physical\" lossy compression scheme. Performance are optimized when the number of well separated clusters is maximal in the underlying physical model.
关 键 词: 概率证明; 聚类现象; 有损压缩; 单个簇; 底层物理模型
课程来源: 视频讲座网
最后编审: 2020-06-06:刘家豪(课程编辑志愿者)
阅读次数: 70