图 书 馆
通过功能嵌入进行大规模聚类Large-Scale Clustering through Functional Embedding |
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| 课程网址: | http://videolectures.net/ecmlpkdd08_ratle_lsct/ |
| 主讲教师: | Mathew L. Miller, Frederic Ratle, Jason Weston |
| 开课单位: | 洛桑大学 |
| 开课时间: | 2008-10-10 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | We present a new framework for large-scale data clustering. The main idea is to modify functional dimensionality reduction techniques to directly optimize over discrete labels using stochastic gradient descent. Compared to methods like spectral clustering our approach solves a single optimization problem, rather than an ad-hoc two-stage optimization approach, does not require a matrix inversion, can easily encode prior knowledge in the set of implementable functions, and does not have an out-of-sample problem. Experimental results on both artificial and real-world datasets show the usefulness of our approach. |
| 关 键 词: | 大规模数据集群; 降维技术; 随机梯度 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-03-23：lxf |
| 阅读次数: | 72 |