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相关地形图

Relational Topographic Maps
课程网址: http://videolectures.net/ida07_hasenfuss_rtm/  
主讲教师: Alexander Hasenfuss
开课单位: 克劳斯塔尔工业大学
开课时间: 2007-10-08
课程语种: 英语
中文简介:
我们介绍了神经地形图的关系变体,包括自组织图和神经气体,它们允许聚类和可视化数据给出成对的相似性或不同性与连续原型更新。假设(dis)相似度矩阵起源于欧几里德距离,然而,点的底层嵌入是未知的。地形图形成的边界优化方案是根据给定(dis)相似性来制定的,并且保证收敛,从而提供一种将批量优化转移到关系数据的方法。
课程简介: We introduce relational variants of neural topographic maps including the self-organizing map and neural gas, which allow clustering and visualization of data given as pairwise similarities or dissimilarities with continuous prototype updates. It is assumed that the (dis-)similarity matrix originates from Euclidean distances, however, the underlying embedding of points is unknown.Batch optimization schemes for topographic map formations are formulated in terms of the given (dis-)similarities and convergence is guaranteed, thus providing a way to transfer batch optimization to relational data.
关 键 词: 神经地形图; 关系变体; 相似性
课程来源: 视频讲座网
最后编审: 2019-04-27:cwx
阅读次数: 31