Other packages > Find by keyword >

dCUR  

Dimension Reduction with Dynamic CUR
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("dCUR", "1.0.1")



Attach the package and use:
library("dCUR")
Maintained by
Cesar Gamboa
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-10-08
Latest Update: 2023-10-18
Description:
Dynamic CUR (dCUR) boosts the CUR decomposition (Mahoney MW., Drineas P. (2009) ) varying the k, the number of columns and rows used, and its final purposes to help find the stage, which minimizes the relative error to reduce matrix dimension. The goal of CUR Decomposition is to give a better interpretation of the matrix decomposition employing proper variable selection in the data matrix, in a way that yields a simplified structure. Its origins come from analysis in genetics. The goal of this package is to show an alternative to variable selection (columns) or individuals (rows). The idea proposed consists of adjusting the probability distributions to the leverage scores and selecting the best columns and rows that minimize the reconstruction error of the matrix approximation ||A-CUR||. It also includes a method that recalibrates the relative importance of the leverage scores according to an external variable of the user's interest.
How to cite:
Cesar Gamboa (2020). dCUR: Dimension Reduction with Dynamic CUR. R package version 1.0.1, https://cran.r-project.org/web/packages/dCUR. Accessed 18 Feb. 2025.
Previous versions and publish date:
1.0.0 (2020-10-08 13:30)
Other packages that cited dCUR R package
View dCUR citation profile
Other R packages that dCUR depends, imports, suggests or enhances
Complete documentation for dCUR
Functions, R codes and Examples using the dCUR R package
Some associated functions: AASP . CUR . dCUR . mixture_plots . optimal_stage . relevant_variables_plot . var_exp . 
Some associated R codes: CUR.R . dCUR.R . globals.R . mixture_plots.R . optimal_stage.R . package_info.R . relevant_variables_plot.R . var_exp.R .  Full dCUR package functions and examples
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  
readxlsb  
Read 'Excel' Binary (.xlsb) Workbooks
Import data from 'Excel' binary (.xlsb) workbooks into R. ...
Download / Learn more Package Citations See dependency  
OptGS  
Near-Optimal Group-Sequential Designs for Continuous Outcomes
Optimal group-sequential designs minimise some function of the expected and maximum sample size whil ...
Download / Learn more Package Citations See dependency  
clustMixType  
k-Prototypes Clustering for Mixed Variable-Type Data
Functions to perform k-prototypes partitioning clustering for mixed variable-type data according to ...
Download / Learn more Package Citations See dependency  
RobustBayesianCopas  
Robust Bayesian Copas Selection Model
Fits the robust Bayesian Copas (RBC) selection model of Bai et al. (2020) for cor ...
Download / Learn more Package Citations See dependency  
fclust  
Fuzzy Clustering
Algorithms for fuzzy clustering, cluster validity indices and plots for cluster validity and visuali ...
Download / Learn more Package Citations See dependency  

23,712

R Packages

205,795

Dependencies

64,332

Author Associations

23,631

Publication Badges

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