Side by side
ClusterValidityIndices.jl vs R-fitODBOD
Both stand on statistical analysis software. Which one you can start free with, which one lets you read the code, and what each costs once you pay.
Free plan Linux
ClusterValidityIndices.jl provides a broad set of clustering validity measures for batch and online evaluation. Its fixed input layout and separate objects for each mode are important implementation details.
Visit ClusterValidityIndices.jl Free plan
R-fitODBOD provides a focused set of binomial and mixture models with several estimation and comparison measures. Its frequency-table requirement and package dependency are important when planning an analysis workflow.
Visit R-fitODBODThe facts
| ClusterValidityIndices.jl | R-fitODBOD | |
|---|---|---|
| Free plan | Yes | Yes |
| Open source | Not published | Not published |
| Runs on | Linux | Not published |
| Lowest paid plan | Not published | Not published |
| Plans published | None | None |
| Maker | Not published | Not published |
| Website | ap6yc.github.io | amalan-constat.github.io |
| On statistical analysis software | #83 of 106 | #87 of 106 |
ClusterValidityIndices.jl: what it does well
- Free Julia package
- Batch and incremental implementations
- Multiple documented validity indices
- Installable through Julia package manager or GitHub
- MIT License
What to know first
- Input requires specific matrix and label formats
- CVI objects cannot switch evaluation modes
- Linux platform listed
R-fitODBOD: what it does well
- Free package with GitHub and CRAN installation
- Includes six alternate distributions
- Includes eight mixture distributions
- Reports several goodness-of-fit measures
- Offers a Shiny application
What to know first
- Later workflow steps require frequency-table data
- Beta-binomial example depends on bbmle
- Model choice requires comparing multiple criteria
- Bug support uses GitHub issues
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