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 26 Aug. 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), (2026-07-09 08:02)
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

clinUtils  
General Utility Functions for Analysis of Clinical Data
Utility functions to facilitate the import, the reporting and analysis of clinical data. Example ...
Download / Learn more Package Citations See dependency  
PCADSC  
Tools for Principal Component Analysis-Based Data Structure Comparisons
A suite of non-parametric, visual tools for assessing differences in data structures for two datase ...
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  
RCytoGPS  
Using Cytogenetics Data in R
Defines classes and methods to process text-based cytogenetics using the CytoGPS web site, then imp ...
Download / Learn more Package Citations See dependency  
ncodeR  
Techniques for Automated Classifiers
A set of techniques that can be used to develop, validate, and implement automated classifiers. A po ...
Download / Learn more Package Citations See dependency  
leafgl  
High-Performance 'WebGl' Rendering for Package 'leaflet'
Provides bindings to the 'Leaflet.glify' JavaScript library which extends the 'leaflet' JavaScript l ...
Download / Learn more Package Citations See dependency  

28,332

R Packages

239,283

Dependencies

75,113

Author Associations

28,333

Publication Badges

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