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OTclust  

Mean Partition, Uncertainty Assessment, Cluster Validation and Visualization Selection for Cluster Analysis
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("OTclust", "1.0.6")



Attach the package and use:
library("OTclust")
Maintained by
Lixiang Zhang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-05-06
Latest Update: 2023-10-06
Description:
Providing mean partition for ensemble clustering by optimal transport alignment(OTA), uncertainty measures for both partition-wise and cluster-wise assessment and multiple visualization functions to show uncertainty, for instance, membership heat map and plot of covering point set. A partition refers to an overall clustering result. Jia Li, Beomseok Seo, and Lin Lin (2019) . Lixiang Zhang, Lin Lin, and Jia Li (2020) .
How to cite:
Lixiang Zhang (2019). OTclust: Mean Partition, Uncertainty Assessment, Cluster Validation and Visualization Selection for Cluster Analysis. R package version 1.0.6, https://cran.r-project.org/web/packages/OTclust. Accessed 06 Jan. 2025.
Previous versions and publish date:
1.0.2 (2019-05-06 09:40), 1.0.3 (2020-10-19 21:40), 1.0.4 (2020-12-18 00:10), 1.0.5 (2023-09-25 12:40)
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Complete documentation for OTclust
Functions, R codes and Examples using the OTclust R package
Full OTclust package functions and examples
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