https://github.com/barbarabodinier/rcosa
Clustering objects on subsets of attributes
Science Score: 23.0%
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Clustering objects on subsets of attributes
Basic Info
- Host: GitHub
- Owner: barbarabodinier
- Default Branch: master
- Size: 6.38 MB
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Fork of mkampert/rCOSA
Created over 3 years ago
· Last pushed over 6 years ago
https://github.com/barbarabodinier/rCOSA/blob/master/
# rCOSA
[](https://www.tidyverse.org/lifecycle/#experimental)
rCOSA is an R package. The main output is a cluster happy dissimilarity matrix that can serve as input for proximity analysis methods.
## Installation
These are the commands to install and load `rCOSA`:
```r
install.packages('devtools');
devtools::install_github('mkampert/rCOSA')
```
## Example
A detailed overview on how to use the `rCOSA` package is given in the open-source article ["rCOSA: A Software Package for Clustering Objects on Subsets of Attributes"](https://link.springer.com/article/10.1007/s00357-017-9240-z) in the Journal of Classification (2017, Vol 34, issue 3, pp. 514 - 547).
A quick basic example of code on how to use the `rCOSA` package is:
```r
library(rCOSA)
data(ApoE3) # ?ApoE3
cosa_rslts <- cosa2(ApoE3)
hierclust(cosa_rslts$D)
```
## Latest Developments
For the latest developments, check out ["Improved Strategies for Distance Based Clustering of Objects on Subsets of Attributes in High-Dimensional Data"](https://openaccess.leidenuniv.nl/handle/1887/74690)
Owner
- Name: Barbara Bodinier
- Login: barbarabodinier
- Kind: user
- Company: Imperial College London
- Twitter: barbarabodinier
- Repositories: 14
- Profile: https://github.com/barbarabodinier
Postdoctoral researcher in Biostatistics