图 书 馆
连续的超顺磁性聚类网络自组织过程Sequential Superparamagnetic Clustering as Network Self-organisation Process |
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| 课程网址: | http://videolectures.net/oiml05_ott_sscns/ |
| 主讲教师: | Thomas Ott |
| 开课单位: | 苏黎世联邦理工学院 |
| 开课时间: | 2007-02-25 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Clustering methods are useful tools for the unsupervised classification and analysis of the elements of a set or scene, e.g., a visual or auditory scene. Such methods can be seen as an integral part of cognition-like operations performed by artificial systems. The problematic is that usually no a priori information is available about the structure, the size or the number of classes. Therefore, unbiased methods that are able to provide a 'natural' classification are of interest. As it has been shown (Blatt, Wiseman, Domany), superparamagnetic clustering (SC) is a promising algorithm that comes close to an ideal unbiased method. SC gives the option of choosing different classes on different resolution levels. It, however, does not directly provide an intrinsic criterion for the choice of the 'most natural' levels, i.e. for finding the most natural classes. |
| 关 键 词: | 聚类方法; 超顺磁性聚类; 供应链 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-06-02：张荧(课程编辑志愿者) |
| 阅读次数: | 49 |