Fitting mixtures of Kent distributions to aid in joint set identification

• 成果类型: Article
• 署名作者: Peel, D; Whiten, WJ; McLachlan, GJ
• 署名单位: University of Queensland
• 刊物名称: JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
• ISSN/ISSBN: 0162-1459
• DOI: 10.1198/016214501750332974
• 发表日期: 2001
• 页码: 56-63
• 关键词: clusters; number

摘要

When examining a rock mass, joint sets and their orientations can play a significant role with regard to how the rock mass will behave. To identify joint sets present in the rock mass, the orientation of individual fracture planer can be measured on exposed rock faces and the resulting data can be examined for heterogeneity. In this article, the expectation-maximization algorithm is used to lit mixtures of Kent component distributions to the fracture data to aid in the identification of joint sets. An additional uniform component is also included in the model to accommodate the noise present in the data.