目錄Microarray Data Analysis Lecture 3. Statistical Pattern Recognition Classical Discrimination (classification) Support Vector Machine (SVM) Clustering Analysis Clustering: What and why? Existing Methods Variables, Sim. Dissim. Dist. Transformation and Dimension Reduction (PCA/SVD) (“curse of dimensionality” – Bellman 1961) PowerPoint 簡報 Self-organizing maps Self-organization maps (SOM) Kohonen (1982) PowerPoint 簡報 Hierarchical methods Phylogenetic-type tree Phylogenetic-type tree / Correlation coefficient PowerPoint 簡報 Bottom-up hierarchical clustering Partitioning methods pam Gaussian mixture: FastMix Andrew W. Moore, Very Fast EM-based Mixture Model Cluster using Multiresolution kd-trees, Advances in Neural Information Processing Systems 11, (Submitted May 1998, Proceedings published May 1999). How to select K? How to evaluate clusters Bootstrapping cluster analysis Confidence interval and stability of clusters |
作者:Michael Zhang
電子郵件: mzhang@cshl.org 首頁: http://argon.cshl.org/mzhang/cv.html 若需最佳效果，請使用 |
