图 书 馆
通过聚类按分类特征进行多重分类Multi-Classification by Categorical Features via Clustering |
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| 课程网址: | http://videolectures.net/icml08_seldin_mcc/ |
| 主讲教师: | Yevgeny Seldin |
| 开课单位: | 哥本哈根大学 |
| 开课时间: | 2008-08-07 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | We derive a generalization bound for multi-classification schemes based on grid clustering in categorical parameter product spaces. Grid clustering partitions the parameter space in the form of a Cartesian product of partitions for each of the parameters. The derived bound provides a means to evaluate clustering solutions in terms of the generalization power of a built-on classifier. For classification based on a single feature the bound serves to find a globally optimal classification rule. Comparison of the generalization power of individual features can then be used for feature ranking. Our experiments show that in this role the bound is much more precise than mutual information or normalized correlation indices. |
| 关 键 词: | 多分类方案; 网格聚类; 内置分类器 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-04-21：lxf |
| 阅读次数: | 82 |