Infrastructure for Ordering Objects Using Seriation
Plot a Bertin Matrix
Create Simulated Data for Seriation Evaluation
Criterion for a Loss/Merit Function for Data Given a Permutation
Dissimilarity Plot
Extracting Order Information from a Permutation Object
Plot Heat Map Reordered Using Seriation
Create and Recognize Robinson and Pre-Robinson Matrices
Locally Linear Embedding (LLE)
Neighborhood functions for Seriation Method SA
Different Useful Color Palettes
Conversion Between Permutation Vector and Permutation Matrix
Permute the Order in Various Objects
Permutation Image Plot
Register Seriation Methods from Package DendSer
Register a Genetic Algorithm Seriation Method
Register Seriation Based on OPTICS
Register Seriation Methods from Package smacof
Register Seriation Based on 1D t-SNE
Register Seriation Based on 1D UMAP
Registry for Criterion Methods
Registry for Seriation Methods
Reorder Dendrograms using Optimal Leaf Ordering
Dissimilarities and Correlations Between Seriation Orders
Class ser_permutation_vector -- A Single Permutation Vector for Seriat...
Class ser_permutation -- A Collection of Permutation Vectors for Seria...
Best Seriation
Seriate Dissimilarity Matrices, Matrices or Arrays
seriation: Infrastructure for Ordering Objects Using Seriation
Fit an Unidimensional Scaling for a Seriation Order
Visual Analysis for Cluster Tendency Assessment (VAT/iVAT)
Infrastructure for ordering objects with an implementation of several seriation/sequencing/ordination techniques to reorder matrices, dissimilarity matrices, and dendrograms. Also provides (optimally) reordered heatmaps, color images and clustering visualizations like dissimilarity plots, and visual assessment of cluster tendency plots (VAT and iVAT). Hahsler et al (2008) <doi:10.18637/jss.v025.i03>.