fdakma: Functional Data Analysis: K-Mean Alignment
Version 1.2.1

It performs simultaneously clustering and alignment of a multidimensional or unidimensional functional dataset by means of k-mean alignment.

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AuthorAlice Parodi, Mirco Patriarca, Laura Sangalli, Piercesare Secchi, Simone Vantini, Valeria Vitelli
Date of publication2015-05-29 10:53:37
MaintainerAlice Parodi <alicecarla.parodi@polimi.it>
LicenseGPL (>= 3)
Version1.2.1
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("fdakma")

Man pages

fdakma-package: Functional Data Analysis: K-Mean Alignment
kma: Clustering and alignment of functional data
kma.compare: kma.compare runs kma with different numbers of clusters and...
kma.data: Simulated Data
kma.show.results: Auxiliary function plotting results of kma function.
kma.similarity: Similarity/dissimilarity index between two functions

Functions

fdakma Man page
fdakma-package Man page
kma Man page Source code
kma.compare Man page Source code
kma.data Man page
kma.show.results Man page Source code
kma.similarity Man page Source code

Files

NAMESPACE
data
data/kma.data.rda
R
R/kma.similarity.R
R/kma.R
R/kma.show.results.R
R/kma.compare.R
MD5
DESCRIPTION
man
man/kma.compare.Rd
man/fdakma-package.Rd
man/kma.data.Rd
man/kma.similarity.Rd
man/kma.Rd
man/kma.show.results.Rd
fdakma documentation built on May 20, 2017, 1:01 a.m.