Lecture 11, Dimensionality Reduction
Tid: Tisdag 6 oktober 2015 kl 10:00 - 12:00
Plats: M2
Aktivitet: Föreläsning
Lärare: Atsuto Maki ()
Studentgrupper: TCSCM_CSCA_2, TCSCM_CSCD_2, TCSCM_CSCE_2, TCSCM_CSCG_2, TEBSM_INMV_1, TEBSM_INSR_1, TITMM_2, TIVNM_DITS_2, TIVNM_HCID_1, TKOMK_3, TMAIM_1, TSCRM_1, TSCRM_2, TTMAM_1
We are going to revisit/resume Boosting at the beginning of the lecture.
Topics:
- Unsupervised Learning
- Principal Component Analysis (PCA)
- Concept of subspace
- Similarity measures
- Subspace methods
Related reading:
Chapter 10.2 from An Introduction to Statistical Learning (Springer, 2013)
Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani
Available online: http://www-bcf.usc.edu/~gareth/ISL/