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seriation (version 1.1-0)

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

28,178

Version

1.1-0

License

GPL-3

Maintainer

Michael Hahsler

Last Published

June 9th, 2015

Functions in seriation (1.1-0)

Visual Analysis for Cluster Tendency Assessment (VAT/iVAT)

Irish Referendum Data Set

Bertin's Characteristics of Townships

Results of 24 Psychological Test for 8th Grade Students

Different Useful Color Palettes

Dissimilarity Plot

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

ser_permutation_vector

Class ser_permutation_vector -- A Single Permutation Vector for Seriation

Gene Expression Data for Wood Formation in Poplar Trees

ser_permutation

Class ser_permutation -- A Collection of Permutation Vectors for Seriation

Dissimilarity Between Seriation Orders

criterion_methods

Registry for Criterion Methods

permutation_matrix

Conversion Between Permutation Vector and Permutation Matrix

Getting an Integer Permutation Vector from a Permutation Object

Plot a Bertin Matrix

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

Reorder Dendrograms using Optimal Leaf Ordering

Seriate Dissimilarity Matrices, Matrices or Arrays

Permutation Image Plot

2D Data Sets used for the CHAMELEON Clustering Algorithm

Create Simulated Data for Seriation Evaluation

Hodson's Munsingen Data Set

Plot Heat Map Reordered by Different Algorithms

seriation_methods

Registry for Seriation Methods