图 书 馆
伯努利分布混合物的简洁易懂的描述Compact and Understandable Descriptions of Mixtures of Bernoulli Distributions |
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| 课程网址: | http://videolectures.net/ida07_hollmen_cud/ |
| 主讲教师: | Jaakko Hollmén |
| 开课单位: | 国赫尔辛基科技机构 |
| 开课时间: | 2007-10-05 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Finite mixture models can be used in estimating complex, unknown probability distributions and also in clustering data. The parameters of the models form a complex representation and are not suitable for interpretation purposes as such. In this paper, we present a methodology to describe the finite mixture of multivariate Bernoulli distributions with a compact and understandable description. First, we cluster the data with the mixture model and subsequently extract the maximal frequent itemsets from the cluster-specific data sets. The mixture model is used to model the data set globally and the frequent itemsets model the marginal distributions of the partitioned data locally. We present the results in understandable terms that reflect the domain properties of the data. In our application of analyzing DNA copy number amplifications, the descriptions of amplification patterns are represented in nomenclature used in literature to report amplification patterns and generally used by domain experts in biology and medicine. |
| 关 键 词: | 有限混合模型; 概率分布; 聚类数据 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-04-27：lxf |
| 阅读次数: | 107 |