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vizClust  

Visualization and Exploration of Cluster Transitions
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("vizClust", "0.1.0")



Attach the package and use:
library("vizClust")
Maintained by
Elsa Arribas
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-06-08
Latest Update: 2026-06-08
Description:
Provides tools to explore and visualize transitions between clusters in multivariate data. The package generates pseudo-samples by interpolating between cluster medoids, enabling the study of gradual changes in feature space. It also computes k-nearest neighbors (KNN)-based statistics to relate pseudo-samples to real data and summarize variable behavior using mean, median, or standard deviation. Finally, the package offers interactive visualizations of variable trajectories along cluster transitions, including both direct trajectory plots and bootstrap-based interactive plots with confidence intervals to assess variability and uncertainty across the transition path.
How to cite:
Elsa Arribas (2026). vizClust: Visualization and Exploration of Cluster Transitions. R package version 0.1.0, https://cran.r-project.org/web/packages/vizClust. Accessed 27 Oct. 2026.
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Complete documentation for vizClust
Functions, R codes and Examples using the vizClust R package
Full vizClust package functions and examples
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