Other packages > Find by keyword >

lsbclust  

Least-Squares Bilinear Clustering for Three-Way Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("lsbclust", "1.1")



Attach the package and use:
library("lsbclust")
Maintained by
Pieter Schoonees
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-02-11
Latest Update: 2019-04-15
Description:
Functions for performing least-squares bilinear clustering of three-way data. The method uses the bilinear decomposition (or bi-additive model) to model two-way matrix slices while clustering over the third way. Up to four different types of clusters are included, one for each term of the bilinear decomposition. In this way, matrices are clustered simultaneously on (a subset of) their overall means, row margins, column margins and row-column interactions. The orthogonality of the bilinear model results in separability of the joint clustering problem into four separate ones. Three of these sub-problems are specific k-means problems, while a special algorithm is implemented for the interactions. Plotting methods are provided, including biplots for the low-rank approximations of the interactions.
How to cite:
Pieter Schoonees (2015). lsbclust: Least-Squares Bilinear Clustering for Three-Way Data. R package version 1.1, https://cran.r-project.org/web/packages/lsbclust. Accessed 22 Dec. 2024.
Previous versions and publish date:
1.0.1 (2015-02-16 14:08), 1.0.2 (2015-03-12 01:11), 1.0.3 (2015-08-15 00:59), 1.0.4 (2016-01-05 14:18), 1.0.5 (2018-04-19 22:26), 1.0 (2015-02-11 01:32)
Other packages that cited lsbclust R package
View lsbclust citation profile
Other R packages that lsbclust depends, imports, suggests or enhances
Complete documentation for lsbclust
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

composits  
Compositional, Multivariate and Univariate Time Series Outlier Ensemble
A compositional multivariate and univariate time series outlier ensemble.It uses the four R packages ...
Download / Learn more Package Citations See dependency  
wordspace  
Distributional Semantic Models in R
An interactive laboratory for research on distributional semantic models ('DSM', see < ...
Download / Learn more Package Citations See dependency  
LOGANTree  
Tree-Based Models for the Analysis of Log Files from Computer-Based Assessments
Enables researchers to model log-file data from computer-based assessments using machine-learning te ...
Download / Learn more Package Citations See dependency  
Maintainer: Qi Qin (view profile)
tropAlgebra  
Tropical Algebraic Functions
It includes functions like tropical addition, tropical multiplication for vectors and matrices. In t ...
Download / Learn more Package Citations See dependency  
Rfast2  
A Collection of Efficient and Extremely Fast R Functions II
A collection of fast statistical and utility functions for data analysis. Functions for regression, ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  

23,394

R Packages

201,798

Dependencies

63,416

Author Associations

23,395

Publication Badges

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