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景观多维标度

Landscape Multidimensional Scaling
课程网址: http://videolectures.net/ida07_klawonn_lms/  
主讲教师: Frank Klawonn
开课单位: 不伦瑞克应用科学大学
开课时间: 2007-10-08
课程语种: 英语
中文简介:
我们重新讨论了用二维平面上的保距离投影来表示高维数据集的问题。这个问题是通过众所周知的技术来解决的,比如多维标度。在那里,数据被投影到一个平面上,并使用欧几里得度量进行距离计算。然而,在真实地形图中,旅行距离(或时间)不仅取决于(欧几里得)距离,还受地形图特征(如山脉或湖泊)的影响。我们研究了如何利用景观特征进行距离保持投影。提出了MDS景观中矩形柱状山脉的第一种方法。
课程简介: We revisit the problem of representing a high-dimensional data set by a distance-preserving projection onto a two-dimensional plane. This problem is solved by well-known techniques, such as multidimensional scaling. There, the data is projected onto a flat plane and the Euclidean metric is used for distance calculation. In real topographic maps, however, travel distance (or time) is not determined by (Euclidean) distance alone, but also influenced by map features such as mountains or lakes. We investigate how to utilize landscape features for a distance-preserving projection. A first approach with rectangular cylindrical mountains in the MDS landscape is presented.
关 键 词: 高维数据集; 二维平面; 欧氏距离
课程来源: 视频讲座网
最后编审: 2020-06-15:heyf
阅读次数: 37