图 书 馆
支持向量机聚类Supervised Clustering with Support Vector Machines |
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| 课程网址: | http://videolectures.net/icml05_finley_scsvm/ |
| 主讲教师: | Thomas Finley |
| 开课单位: | 康奈尔大学 |
| 开课时间: | 2007-02-25 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Supervised clustering is the problem of training a clustering algorithm to produce desirable clusterings: given sets of items and complete clusterings over these sets, we learn how to cluster future sets of items. Example applications include noun-phrase coreference clustering, and clustering news articles by whether they refer to the same topic. In this paper we present an SVM algorithm that trains a clustering algorithm by adapting the item-pair similarity measure. The algorithm may optimize a variety of different clustering functions to a variety of clustering performance measures. We empirically evaluate the algorithm for noun-phrase and news article clustering. |
| 关 键 词: | 聚类; 核支持向量机; 监督聚类; 新闻聚类 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-06-06：毛岱琦(课程编辑志愿者) |
| 阅读次数: | 43 |