Other packages > Find by keyword >

GMKMcharlie  

Unsupervised Gaussian Mixture and Minkowski and Spherical K-Means with Constraints
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("GMKMcharlie", "1.1.5")



Attach the package and use:
library("GMKMcharlie")
Maintained by
Charlie Wusuo Liu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-10-08
Latest Update: 2021-05-29
Description:
High performance trainers for parameterizing and clustering weighted data. The Gaussian mixture (GM) module includes the conventional EM (expectation maximization) trainer, the component-wise EM trainer, the minimum-message-length EM trainer by Figueiredo and Jain (2002) . These trainers accept additional constraints on mixture weights, covariance eigen ratios and on which mixture components are subject to update. The K-means (KM) module offers clustering with the options of (i) deterministic and stochastic K-means++ initializations, (ii) upper bounds on cluster weights (sizes), (iii) Minkowski distances, (iv) cosine dissimilarity, (v) dense and sparse representation of data input. The package improved the typical implementations of GM and KM algorithms in various aspects. It is carefully crafted in multithreaded C++ for modeling large data for industry use.
How to cite:
Charlie Wusuo Liu (2019). GMKMcharlie: Unsupervised Gaussian Mixture and Minkowski and Spherical K-Means with Constraints. R package version 1.1.5, https://cran.r-project.org/web/packages/GMKMcharlie. Accessed 13 Mar. 2026.
Previous versions and publish date:
1.0.3 (2019-10-08 11:10), 1.1.1 (2020-10-28 13:50), 1.1.5 (2021-05-29 08:20)
Other packages that cited GMKMcharlie R package
View GMKMcharlie citation profile
Other R packages that GMKMcharlie depends, imports, suggests or enhances
Complete documentation for GMKMcharlie
Functions, R codes and Examples using the GMKMcharlie R package
Some associated functions: GM . GMcw . GMfj . KM . KMconstrained . KMconstrainedSparse . KMppIni . KMppIniSparse . KMsparse . d2s . s2d . 
Some associated R codes: RcppExports.R .  Full GMKMcharlie package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

pedsuite  
Easy Installation of the 'pedsuite' Packages for Pedigree Analysis
The 'ped suite' is a collection of packages for pedigree analysis, covering applications in forensi ...
Download / Learn more Package Citations See dependency  
Rlabkey  
Data Exchange Between R and 'LabKey' Server
The 'LabKey' client library for R makes it easy for R users to load live data from a 'LabKey' Serve ...
Download / Learn more Package Citations See dependency  
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  
gtop  
Game-Theoretically OPtimal (GTOP) Reconciliation Method
In hierarchical time series (HTS) forecasting, the hierarchical relation between multiple time serie ...
Download / Learn more Package Citations See dependency  
beezdemand  
Behavioral Economic Easy Demand
Facilitates many of the analyses performed in studies of behavioral economic demand. The package su ...
Download / Learn more Package Citations See dependency  
vacuum  
Tukey's Vacuum Cleaner
An implementation of three procedures developed by John Tukey: FUNOP (FUll NOrmal Plot), FUNOR-FUNO ...
Download / Learn more Package Citations See dependency  

26,293

R Packages

225,784

Dependencies

70,376

Author Associations

26,294

Publication Badges

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