Other packages > Find by keyword >

DynClust  

Denoising and Clustering for Dynamical Image Sequence (2D or 3D)+t
View on CRAN: Click here


Download and install DynClust package within the R console
Install from CRAN:
install.packages("DynClust")

Install from Github:
library("remotes")
install_github("cran/DynClust")

Install by package version:
library("remotes")
install_version("DynClust", "3.24")



Attach the package and use:
library("DynClust")
Maintained by
Yves Rozenholc
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2012-08-30
Latest Update: 2022-04-11
Description:
A two-stage procedure for the denoising and clustering of stack of noisy images acquired over time. Clustering only assumes that the data contain an unknown but small number of dynamic features. The method first denoises the signals using local spatial and full temporal information. The clustering step uses the previous output to aggregate voxels based on the knowledge of their spatial neighborhood. Both steps use a single keytool based on the statistical comparison of the difference of two signals with the null signal. No assumption is therefore required on the shape of the signals. The data are assumed to be normally distributed (or at least follow a symmetric distribution) with a known constant variance. Working pixelwise, the method can be time-consuming depending on the size of the data-array but harnesses the power of multicore cpus.
How to cite:
Yves Rozenholc (2012). DynClust: Denoising and Clustering for Dynamical Image Sequence (2D or 3D)+t. R package version 3.24, https://cran.r-project.org/web/packages/DynClust. Accessed 05 Mar. 2026.
Previous versions and publish date:
1.0 (2012-08-30 17:09), 1.1 (2012-08-31 15:14), 1.2 (2012-09-21 14:01), 1.3 (2012-10-11 22:35), 2.0 (2012-11-15 18:11), 2.2 (2012-12-20 10:02), 3.11 (2014-02-18 22:25), 3.12 (2014-02-28 16:02), 3.13 (2014-04-25 11:02)
Other packages that cited DynClust R package
View DynClust citation profile
Other R packages that DynClust depends, imports, suggests or enhances
Complete documentation for DynClust
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

imagefx  
Extract Features from Images
Synthesize images into characteristic features for time-series analysis or machine learning applicat ...
Download / Learn more Package Citations See dependency  
neat  
Efficient Network Enrichment Analysis Test
Includes functions and examples to compute NEAT, the Network Enrichment Analysis Test described in ...
Download / Learn more Package Citations See dependency  
diffIRT  
Diffusion IRT Models for Response and Response Time Data
Package to fit diffusion-based IRT models to response and response time data. Models are fit using ...
Download / Learn more Package Citations See dependency  
pinp  
'pinp' is not 'PNAS'
A 'PNAS'-alike style for 'rmarkdown', derived from the 'Proceedings of the National Academy of Scie ...
Download / Learn more Package Citations See dependency  
roccv  
ROC for Cross Validation Results
Cross validate large genetic data while specifying clinical variables that should always be in the m ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  

26,264

R Packages

223,360

Dependencies

70,244

Author Associations

26,265

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA