Bagidis: BAses GIving DIStances
Version 1.0

This is the companion package of a PhD thesis entitled "Bases Giving Distances. A new paradigm for investigating functional data with applications for spectroscopy" by Timmermans (2012). See references for details and related publications. The core of the BAGIDIS methodology is a functional wavelet based semi-distance that has been introduced by Timmermans and von Sachs (2010, 2015) and Timmermans, Delsol and von Sachs (2013). This semi-distance allows for comparing curves with sharp local patterns that might not be well aligned from one curve to another. It is data-driven and highly adaptive to the curves being studied. Its main originality is its ability to consider simultaneously horizontal and vertical variations of patterns, which proofs highly useful when used together with clustering algorithms or visualization method. BAGIDIS is an acronym for BAsis GIving DIStances. The extension of BAGIDIS to image data relies on the same principles and has been described in Timmermans and Fryzlewicz (2012), Fryzlewicz and Timmermans (2015).

AuthorCatherine Timmermans
Date of publication2015-06-26 00:36:18
MaintainerCatherine Timmermans <catherine.timmermans@uclouvain.be>
LicenseGPL
Version1.0
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("Bagidis")

Getting started

Package overview

Popular man pages

Bagidis-package: BAGIDIS (BAses Giving DIStances). A New Set of Tools for...
BD.plot: B-D representation of the Bottom Up Unbalanced Haar Wavelet...
BUUHWE: Bottom Up Unbalanced Haar Wavelet Expansion
BUUHWE.plot: Graphical representation of the Bottom Up Unbalanced Haar...
semimetric.BAGIDIS: Computing the BAGIDIS semidistance between series
semimetric.BAGIDIS_2D: The BAGIDIS semi-distance for datasets of images
BUUHWE_2D: Two-dimensional Bottom-Up Unbalanced Haar Wavelet Expansion...
See all...

All man pages Function index File listing

Man pages

Bagidis-package: BAGIDIS (BAses Giving DIStances). A New Set of Tools for...
BD.plot: B-D representation of the Bottom Up Unbalanced Haar Wavelet...
BUUHWE: Bottom Up Unbalanced Haar Wavelet Expansion
BUUHWE_2D: Two-dimensional Bottom-Up Unbalanced Haar Wavelet Expansion...
BUUHWE_2D.plot: Graphical representation of the 2D-BUUHWE (or SHAH) of an...
BUUHWE.plot: Graphical representation of the Bottom Up Unbalanced Haar...
semimetric.BAGIDIS: Computing the BAGIDIS semidistance between series
semimetric.BAGIDIS_2D: The BAGIDIS semi-distance for datasets of images

Functions

BAGIDIS Man page
BAGIDIS-package Man page
BAGIDIS.dist Man page Source code
BAGIDIS.dist.BD Man page Source code
BAGIDIS_2D Source code
BAGIDIS_2D_Flex Source code
BD.plot Man page Source code
BUUHWE Man page Source code
BUUHWE.plot Man page Source code
BUUHWE_2D Man page Source code
BUUHWE_2D.plot Man page Source code
BUUHWE_2D_Stepwise Man page Source code
BUUHWT_2D Man page Source code
Bagidis Man page
Bagidis-package Man page
Blue2Red.Col Source code
Breakpoints Man page Source code
DefineSubseries Source code
Details Man page Source code
SHAH Man page Source code
SHAH.plot Man page Source code
SHAH_Stepwise Man page Source code
Signature_2D Man page Source code
semimetric.BAGIDIS Man page Source code
semimetric.BAGIDIS.BD Man page Source code
semimetric.BAGIDIS.TS Man page Source code
semimetric.BAGIDIS_2D Man page Source code
semimetric.BAGIDIS_2D_Array Source code
semimetric.BAGIDIS_2D_BD Source code
semimetric.BAGIDIS_2D_Flex Source code
semimetric.BAGIDIS_2D_Vec Source code

Files

NAMESPACE
R
R/BD.plot.r
R/Details.r
R/Blue2Red.Col.r
R/Signature_2D.r
R/BUUHWE.r
R/BAGIDIS.dist.BD.r
R/BUUHWE.plot.r
R/semimetric.BAGIDIS.BD.r
R/Breakpoints.r
R/DefineSubseries.r
R/BAGIDIS.dist.r
R/semimetric.BAGIDIS.TS.r
R/semimetric.BAGIDIS.r
R/BUUHWT_2D_Graph_v2.r
R/BUUHWT_2D.r
R/BAGIDIS_2D.r
R/BUUHWE_2D_Stepwise.r
MD5
DESCRIPTION
man
man/BUUHWE.plot.Rd
man/semimetric.BAGIDIS.Rd
man/BD.plot.Rd
man/BUUHWE.Rd
man/BUUHWE_2D.plot.rd
man/BUUHWE_2D.rd
man/Bagidis-package.Rd
man/semimetric.BAGIDIS_2D.Rd
Bagidis documentation built on May 19, 2017, 9:39 a.m.

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