图 书 馆
自适应密度水平集聚类Adaptive Density Level Set Clustering |
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| 课程网址: | http://videolectures.net/colt2011_steinwart_level/ |
| 主讲教师: | Ingo Steinwart |
| 开课单位: | 洛斯阿拉莫斯国家实验室 |
| 开课时间: | 2011-08-02 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Clusters are often de fined to be the connected components of a density level set. Unfortunately, this defi nition depends on a level that needs to be user specifi ed by some means. In this paper we present a simple algorithm that is able to asymptotically determine the optimal level, that is, the level at which there is the first split in the cluster tree of the data generating distribution. We further show that this algorithm asymptotically recovers the corresponding connected components. Unlike previous work, our analysis does not require strong assumptions on the density such as continuity or even smoothness. |
| 关 键 词: | 集群; 密度水平集; 最优化算法; 连通分量 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-06-08：heyf |
| 阅读次数: | 55 |