Other packages > Find by keyword >

klic  

Kernel Learning Integrative Clustering
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("klic", "1.0.4")



Attach the package and use:
library("klic")
Maintained by
Alessandra Cabassi
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-04-03
Latest Update: 2020-07-06
Description:
Kernel Learning Integrative Clustering (KLIC) is an algorithm that allows to combine multiple kernels, each representing a different measure of the similarity between a set of observations. The contribution of each kernel on the final clustering is weighted according to the amount of information carried by it. As well as providing the functions required to perform the kernel-based clustering, this package also allows the user to simply give the data as input: the kernels are then built using consensus clustering. Different strategies to choose the best number of clusters are also available. For further details please see Cabassi and Kirk (2020) .
How to cite:
Alessandra Cabassi (2020). klic: Kernel Learning Integrative Clustering. R package version 1.0.4, https://cran.r-project.org/web/packages/klic. Accessed 18 Feb. 2025.
Previous versions and publish date:
1.0.2 (2020-04-03 18:00)
Other packages that cited klic R package
View klic citation profile
Other R packages that klic depends, imports, suggests or enhances
Complete documentation for klic
Functions, R codes and Examples using the klic R package
Some associated functions: copheneticCorrelation . kkmeans . klic . lmkkmeans . lmkkmeans_missingData . plotSimilarityMatrix . spectrumShift . 
Some associated R codes: cophenetic-correlation.R . kkmeans.R . klic.R . lmkkmeans.R . lmkkmeans_missingData.R . plot-similarity-matrix.R . spectrum-shift.R .  Full klic 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

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  
readxlsb  
Read 'Excel' Binary (.xlsb) Workbooks
Import data from 'Excel' binary (.xlsb) workbooks into R. ...
Download / Learn more Package Citations See dependency  
MOSS  
Multi-Omic Integration via Sparse Singular Value Decomposition
High dimensionality, noise and heterogeneity among samples and features challenge the omic integrat ...
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  
fclust  
Fuzzy Clustering
Algorithms for fuzzy clustering, cluster validity indices and plots for cluster validity and visuali ...
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  

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