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# THIS FORK NO LONGER MAINTAINED; INSTEAD SEE: https://github.com/TheRensselaerIDEA/FeatureSpaceDiagrams | |
# FeatureSpaceDiagram | |
Generating feature space diagrams in R | |
This is a first effort to implement "feature space diagrams" in R, inspired by: | |
https://towardsdatascience.com/escape-the-correlation-matrix-into-feature-space-4d71c51f25e5 | |
## Workflow | |
Our workflow is generally as described in the original post: | |
* Generate the correlation matrix | |
* Create a distance matrix from the correlation matrix | |
* Original approach: Take the absolute value of correlation matrix and subtract each value from 1. | |
* Revised approach: use R's `dist()` function to provide different approaches to finding distance | |
* Use PCA to reduce our NxN distance matrix to Nx2. | |
* Plot each feature’s location using the first two principal components. | |
* Use Feature Agglomeration (hierarchical clusterimg) to generate feature clusters. | |
* Color each feature by its cluster. | |
* Draw lines to represent relationships based on some threshold | |
## Acknowledgements | |
Many thanks to [Win Cowger](https://mastodon.social/@wincowger) and the rest of the [#Rstats Fediverse community](https://mastodon.social/@rstats@a.gup.pe) for the inspiration! | |
![image](https://media.github.rpi.edu/user/155/files/f1a39412-9d3d-4e8b-9926-cf50e8c22f8e) |