图 书 馆
一种用于文本数据可视化的部分监督度量多维尺度缩放算法A Partially Supervised Metric Multidimensional Scaling Algorithm for Textual Data Visualization |
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| 课程网址: | http://videolectures.net/ida07_martin_merino_apsmmsa/ |
| 主讲教师: | Manuel Martin-Merino Acera |
| 开课单位: | 萨拉曼卡天主教大学 |
| 开课时间: | 2007-10-08 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Multidimensional Scaling Algorithms (MDS) allow us to visualize high dimensional object relationships in an intuitive way. An interesting application of the MDS algorithms is the visualization of the semantic relations among documents or terms in textual databases. However, the MDS algorithms proposed in the literature exhibit a low discriminant power. The unsupervised nature of the algorithms and the ’curse of dimensionality’ favor the overlapping among different topics in the map. This problem can be overcome considering that many textual collections provide frequently a categorization for a small subset of documents. In this paper we define new semi-supervised measures that reflect better the semantic classes of the textual collection considering the a priori categorization of a subset of documents. Next the dissimilarities are incorporated into the Torgerson MDS algorithm to improve the separation among topics in the map. The experimental results show that the model proposed outperforms well known unsupervised alternatives. |
| 关 键 词: | 多维垢算法; 语义关系; 半监督措施 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-06-15：heyf |
| 阅读次数: | 43 |