- 担当教員
- 杉山 将
- 使用教室
- 火3-4(W631J2-1601)
- 単位数
- 講義：2 演習：0 実験：0
- 講義コード
- 76033
- シラバス更新日
- 2013年3月25日
- 講義資料更新日
- 2013年7月2日
- アクセス指標
-
- 学期
- 前期
講義概要
The objective of this course is to introduce basic ideas and practical
methods of discovering useful structure hidden in the data.
講義の目的
The objective of this course is to introduce basic ideas and practical
methods of discovering useful structure hidden in the data.
講義計画
1. Introduction
2. Pseudo Biorthogonal Basis
3. Principal Component Analysis
4. Kernel Principal Component Analysis
5. Non-Gaussian Component Analysis
6. Spectral Methods of Dimensionality Reduction
7. K-means Clustering
8. Spectral Clustering
9. Outlier Detection
10. Kernel Outlier Detection
11. Independent Component Analysis
12. Blind Source Separation
13. Concluding Remarks and Future Prospects
教科書・参考書等
Handouts are provided if necessary.
Pointers to relevant material will be provided.
関連科目・履修の条件等
Pattern Information Processing
Pattern Recognition (in Japanese)
Probability Theory and Statistics (in Japanese)
成績評価
Reports related to intelligent data analysis and students' projects.
担当教員の一言
In order to really learn the methods, it is important to actually use
them. Analyzing your own data using the learned methods is expected.
