资料来自John Wiley分析化学百科全书,
作者:Barry K. Lavine
Clarkson University, Potsdam, USA
1 Introduction 1
2 Principal Component Analysis 2
2.1 Variance-based Coordinate System 3
2.2 Information Content of Principal
Components 3
2.3 Case Studies 4
3 Cluster Analysis 5
3.1 Hierarchical Clustering 6
3.2 Practical Considerations 8
3.3 Case Studies 8
4 Pattern Recognition 9
4.1 k-Nearest Neighbor 12
4.2 Soft Independent Modeling by Class
Analogy 12
4.3 Feature Selection 13
4.4 Case Studies 13
5 Software 19
6 Conclusion 19
在代谢组学的研究中,一个很重要的步骤就是数据的处理,而本资料几乎涵盖的目前代谢组学中所有的数据处理方法,因此这是一份很有价值的资料,现上传与大家分享。
Clustering and Classification of Analytical Data