A Discriminate Multidimensional Mapping for Small Sample Database

摘要：

In this paper, we develop a new feature extraction method, called discriminate multidimensional mapping (DMM), which is especially effective for small sample database. The algorithm takes advantages of MDS and LDA, meanwhile avoids their disadvantages. We give theoretical analysis of this algorithm, and demonstrate with examples that DMM is effective in practical use.

作者: Xiaoqin Hu Ling Jing Qian Li

作者单位: College of Science, China Agricultural University, 100083, Beijing, P. R. China

会议类型: 国际会议

会议名称: 首届伏化合系统生物学国际会议(The First International Symposium OSB07)

会议地点: 北京

会议语种:英文

页码: 250-258

在线出版日期: 2007-08-08（万方平台首次上网日期，不代表论文的发表时间）