Multivariate Analysis
Spatial Representation
Similarity Visualization
Perceptual Mapping
Dimensionality Reduction
Similarity Data
Dissimilarity Data
Distance Matrices
Proximity Measures
Euclidean Distance Model
Principal Coordinates Analysis
Ordinal Data Handling
Monotonic Transformation
Distance Matrix Analysis
Double Centering
Eigenvalue Decomposition
Coordinate Extraction
Stress Function
Iterative Optimization
Kruskal's Algorithm
Shepard Diagram
Stress Values
Scree Plot
Interpretability
Elbow Criterion
Spatial Configuration
Dimension Interpretation
Cluster Identification
Stress Measures
R-Squared
Shepard Diagram Analysis
Individual Differences Scaling (INDSCAL)
Weighted MDS
Unfolding Models
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12. Canonical Correlation Analysis
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14. Advanced Multivariate Methods