Amanote Research
Register
Sign In
Figure 1: Principal Components (90 Observations, 20 Variables): First Three Principal Components Explains 54.3% of Total Variance.
doi 10.7717/peerj.8174/fig-1
Full Text
Open PDF
Abstract
Available in
full text
Date
Unknown
Authors
Unknown
Publisher
PeerJ
Related search
Robust Principal Components: A Generalized Variance Perspective
Behavior Research Methods
Developmental
Arts
Psychology
Educational Psychology
Cognitive Psychology
Humanities
Experimental
Figure S4: Contribution of Spot Trait Variables to Principal Components Analysis First and Second Dimensions
Principal Components Regression by Using Generalized Principal Components Analysis
JOURNAL OF THE JAPAN STATISTICAL SOCIETY
Functional Principal Components
Variational Principal Components
Figure 4: 3D Representation of the (A) Vegetation Plots and (B) Geo-Climatic Variables Along the Three First Principal Components of the Principal Component Analysis (Cumulative Variance Explained 76.9%) Conducted on the Páramo Vegetation Dataset.
Efficient R-Estimation of Principal and Common Principal Components
Journal of the American Statistical Association
Uncertainty
Statistics
Probability
Figure 3: Discriminant Analysis of Principal Components (DAPC) of the Microsatellite Data of Seven Coptoformica Species With 24 Principal Components Included.
Principal Components: A Descent Algorithm
Journal of Computational Physics
Numerical Analysis
Applied Mathematics
Simulation
Computer Science Applications
Modeling
Computational Mathematics
Astronomy
Physics