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seriation (version 1.1-3)

Infrastructure for Ordering Objects Using Seriation

Description

Infrastructure for seriation with an implementation of several seriation/sequencing 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).

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Version

Install

install.packages('seriation')

Monthly Downloads

24,411

Version

1.1-3

License

GPL-3

Maintainer

Michael Hahsler

Last Published

December 19th, 2015

Functions in seriation (1.1-3)

Irish Referendum Data Set

Dissimilarity Plot

Bertin's Characteristics of Townships

Plot Heat Map Reordered Using Seriation

permutation_matrix

Conversion Between Permutation Vector and Permutation Matrix

Hodson's Munsingen Data Set

Class ser_permutation -- A Collection of Permutation Vectors for Seriation

Create and Recognize Robinson and Pre-Robinson Matrices

Seriate Dissimilarity Matrices, Matrices or Arrays

Plot a Bertin Matrix

Results of 24 Psychological Test for 8th Grade Students

Permutation Image Plot

permutation_vector

Class ser_permutation_vector -- A Single Permutation Vector for Seriation

Create Simulated Data for Seriation Evaluation

Reorder Dendrograms using Optimal Leaf Ordering

Gene Expression Data for Wood Formation in Poplar Trees

criterion_methods

Registry for Criterion Methods

seriation_methods

Registry for Seriation Methods

Criterion for a Loss/Merit Function for Data Given a Permutation

2D Data Sets used for the CHAMELEON Clustering Algorithm

Extracting Order Information from a Permutation Object

Permute the Order in Various Objects

Visual Analysis for Cluster Tendency Assessment (VAT/iVAT)

Different Useful Color Palettes

Dissimilarities and Correlations Between Seriation Orders