'Left eigenvectors' presentation slideshows

Factor and Component Analysis

Factor and Component Analysis. esp. Principal Component Analysis (PCA). Why Factor or Component Analysis?. We study phenomena that can not be directly observed ego, personality, intelligence in psychology Underlying factors that govern the observed data

1.55k views • 99 slides

Gap-filling and Fault-detection for the life under your feet dataset

233 views • 16 slides

Diffusion Maps and Spectral Clustering

1 /14. Machine Learning Seminar Series. Diffusion Maps and Spectral Clustering. Author : Ronald R. Coifman et al. (Yale University) Presenter : Nilanjan Dasgupta (SIG Inc.). Z. Y. X. 2 /14. Motivation. -- Datum. Low-dimensional Manifold.

681 views • 14 slides

Diffusion Maps and Spectral Clustering

1 /14. Machine Learning Seminar Series. Diffusion Maps and Spectral Clustering. Author : Ronald R. Coifman et al. (Yale University) Presenter : Nilanjan Dasgupta (SIG Inc.). Z. Y. X. 2 /14. Motivation. -- Datum. Low-dimensional Manifold.

336 views • 14 slides

Measures of System Performance

Measures of System Performance. Starrett Mini-Lecture #6. Questions. Which states are influenced by certain modes? Which states are capable of influencing certain modes?. Measures of System Structure. Right & Left Eigenvectors Controllability & Observability Participation Factors.

221 views • 12 slides