Latent Variable Study Algorithm Based on Grey Cluster Relation Analysis Method

摘要：

A latent variable study algorithm based on grey cluster relation analysis method was proposed. Grey cluster method give a preliminary statistical analysis on existing data, thus the relationship among variables were established and candidate pre-models of Bayesian was built up. Compared with the existing heuristic methods,it coulds effectively reduce the pre-model search space, decrease the call times of EM Algorithm. The study progress of latent structure is simplified,so the efficiency of it was improved to some extent.

关键词： Grey Cluster Latent Variable Pre-Model Bayesian Network

作者: QU Ying JIA Jian WU Qi-zong

作者单位: HeiBei University of Science and Technology, Shijiazhuang, 050018,China School of Management and Eco Hebei Far East Harris Communications Company LimitedShijiazhuang, 050200,China School of Management and Economics, Beijing Institute of Technology, Beijing 100081

会议类型: 国际会议

会议名称: 2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)

会议地点: 广西桂林

会议语种:英文

页码: 3604-3607

在线出版日期: 2009-06-17（万方平台首次上网日期，不代表论文的发表时间）