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正向搜索的回归线的拟合混合物:聚类和孤立点检测中的应用

Fitting mixtures of regression lines with the forward search: application to clustering and outlier detection
课程网址: http://videolectures.net/mmdss07_cerioli_fmr/  
主讲教师: Andrea Cerioli, Domenico Perrotta
开课单位: 帕尔马大学
开课时间: 2007-09-18
课程语种: 英语
中文简介:
前向搜索是一种检测未识别子集和屏蔽异常值的方法,并用于确定它们对数据模型的影响。本文介绍了一种通过前向搜索实现离群值检测和聚类的半自动方法。我们处理挑战性问题,包括选择群体数量。该算法的性能显示在几个与欺诈检测问题相关的交易数据集上。
课程简介: The forward search is a method for detecting unidentified subsets and masked outliers and for determining their effect on models fitted to the data. This talk describes a semi-automatic approach to outlier detection and clustering through the forward search. We address challenging issues including selection of the number of groups. The performance of the algorithm is shown on several trade data sets relevant for fraud detection problems.
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: 2020-06-06:yumf
阅读次数: 29