'Class scatter' diaporamas de présentation

Computational Intelligence: Methods and Applications

Lecture 7 Discriminant Component Analysis Source: W?odzis?aw Duch ; Dept. of Informatics, UMK ; Google: W Duch. Computational Intelligence: Methods and Applications. PCA problem. PCA transformation for 2D data:.

710 views • 52 slides

Lecture 4 Linear machine

485 views • 35 slides

Advanced Machine Learning & Perception

Advanced Machine Learning & Perception. Instructor: Tony Jebara. Topic 13. Manifolds Continued and Spectral Clustering Convex Invariance Learning (CoIL) Kernel PCA (KPCA) Spectral Clustering & N-Cuts. Manifolds Continued. PCA: linear manifold

548 views • 34 slides

Linear machine

347 views • 34 slides

Dimension Reduction & PCA

Dimension Reduction & PCA. Prof. A.L. Yuille Stat 231. Fall 2004. Curse of Dimensionality. A major problem is the curse of dimensionality. If the data x lies in high dimensional space, then an enormous amount of data is required to learn distributions or decision rules.

479 views • 24 slides

Local Fisher Discriminant Analysis for Supervised Dimensionality Reduction

Local Fisher Discriminant Analysis for Supervised Dimensionality Reduction. Masashi Sugiyama Tokyo Institute of Technology, Japan. Dimensionality Reduction. High dimensional data is not easy to handle: Need to reduce dimensionality We focus on Linear dimensionality reduction:

482 views • 23 slides

Joao B. D. Cabrera and Raman K. Mehra Scientific Systems Company, Inc.

349 views • 23 slides

??? ????????????? ?????????????

Introduction To Linear Discriminant Analysis. ??? ????????????? ?????????????. Linear Discriminant Analysis.

296 views • 14 slides

Linear Discriminant Analysis

450 views • 13 slides

3.8 Component Analysis and Discriminants

Pattern Classification All materials in these slides were taken from Pattern Classification (2nd ed) by R. O. Duda, P. E. Hart and D. G. Stork, John Wiley & Sons, 2000 with the permission of the authors and the publisher. 3.8 Component Analysis and Discriminants

113 views • 7 slides