图 书 馆
单一数据，多重聚类Single Data, Multiple Clusterings |
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| 课程网址: | http://videolectures.net/nipsworkshops09_dasgupta_sdm/ |
| 主讲教师: | Sajib Dasgupta |
| 开课单位: | 德克萨斯大学 |
| 开课时间: | 2010-01-19 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | There has been extensive research in the clustering community on formalizing the definition of the quality of a given data clustering. However, is it possible to measure the quality of a clustering unless human judgment is taken into consideration? The notion of quality is subjective: for example, given the task of clustering a set of movie reviews, some users might want to cluster them according to sentiment, while others might want to cluster them according to genre. If the clustering algorithm is passive (i.e., it does not have the ability to produce multiple clusterings by actively taking user intent into account), it is hard to justify the algorithm to be qualitatively best across different domains. There has been a recent surge of interest in quantifying how clusterable a dataset is [2]. Can we similarly define multi-clusterability? In this paper, we present a (really) simple active clustering architecture that can help understand the multi-clusterability of a dataset. |
| 关 键 词: | 群集社区; 数据聚类; 聚类算法 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-07-17：yumf |
| 阅读次数: | 113 |