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在线分裂聚类的半模糊的方法A Semi-fuzzy approach for online divisive-agglomerative clustering |
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| 课程网址: | http://videolectures.net/ecml07_pereiro_sfa/ |
| 主讲教师: | Pedro Pereira Rodrigues |
| 开课单位: | 波尔图大学 |
| 开课时间: | 2008-01-29 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | The Online Divisive-Agglomerative Clustering (ODAC) is an incremental approach for clustering streaming time series using a hierarchical procedure over time. It constructs a tree-like hierarchy of clusters of streams, using a top-down strategy based on the correlation between streams. The system also possesses an agglomerative phase to enhance a dynamic behavior capable of structural change detection. However, the split decision used in the algorithm focus on the crisp boundary between two groups, which implies a high risk since it has to decide based on only a small subset of the entire data. In this work we propose a semi-fuzzy approach to the assignment of variables to newly created clusters, for a better trade-off between validity and performance. Experimental work supports the benefits of our approach. |
| 关 键 词: | 计算机科学; 机器学习; 聚类 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-06-03：张荧(课程编辑志愿者) |
| 阅读次数: | 31 |