hilbertSimilarity

hilbertSimilarity is a R package to compute similarity between high dimensional samples, using discretization to summarize data and the Jensen-Shannon distance to compute similarity.

To install hilbertSimilarity

devtools::install_github('yannabraham/hilbertSimilarity')

Or, if you want to build the vignette:

devtools::install_github('yannabraham/hilbertSimilarity',build_vignettes = TRUE)

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Install

install.packages('hilbertSimilarity')

Monthly Downloads

190

Version

0.4.3

License

CC BY-NC-SA 4.0

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Repository

http://github.com/yannabraham/hilbertSimilarity

Maintainer

Yann Abraham

Last Published

November 11th, 2019

Functions in hilbertSimilarity (0.4.3)

localMinima

Find Local Minima in a vector

show.cut

Plot the cuts generated through make.cut

andrewsProjection

Use Andrews plots to visualize the Hilbert curve

make.cut

Generate Cutting Points for a Multidimensional Matrix

localMaxima

Find Local Maxima in a vector

hilbertSimilarity

do.hilbert

Generate the Hilbert Index from a Cut Reference Matrix

do.cut

Apply Cuts to the Reference Matrix

hilbertProjection

Project a Cut Reference Matrix to a Different Space through an Hilbert Index

hilbert.order

Estimate the Hilbert order for a given matrix

add.cut

Add New Cut Thresholds

js.dist

Compute the Jensen-Shannon Distance between 2 sets of Hilbert Index

hilbertMapping

Map High Dimensional Coordinates to Hilbert Index and back