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seriation (version 1.1-1)

Infrastructure for 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

28,879

Version

1.1-1

License

GPL-3

Maintainer

Michael Hahsler

Last Published

June 30th, 2015

Functions in seriation (1.1-1)

Dissimilarities and Correlations Between Seriation Orders

seriation_methods

Registry for Seriation Methods

Results of 24 Psychological Test for 8th Grade Students

Permutation Image Plot

Seriate Dissimilarity Matrices, Matrices or Arrays

criterion_methods

Registry for Criterion Methods

Gene Expression Data for Wood Formation in Poplar Trees

Irish Referendum Data Set

Visual Analysis for Cluster Tendency Assessment (VAT/iVAT)

Dissimilarity Plot

2D Data Sets used for the CHAMELEON Clustering Algorithm

ser_permutation_vector

Class ser_permutation_vector -- A Single Permutation Vector for Seriation

Bertin's Characteristics of Townships

Create Simulated Data for Seriation Evaluation

Plot a Bertin Matrix

Plot Heat Map Reordered by Different Algorithms

Permute a dist Object, a Matrix, an Array, a List, or a Vector

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

Hodson's Munsingen Data Set

Different Useful Color Palettes

permutation_matrix

Conversion Between Permutation Vector and Permutation Matrix

ser_permutation

Class ser_permutation -- A Collection of Permutation Vectors for Seriation

Reorder Dendrograms using Optimal Leaf Ordering

Extracting Order Information from a Permutation Object