https://github.com/jmsquare/canonical-correlation-analysis
This project implements canonical correlation analysis between two data matrices. I first create the latent dimensions between the two data matrices. Then I use Kmeans and hierarchical clustering on principal component to group individuals using the latent dimensions and the distance created by the canonical analysis. Last step, I give a profiling of the different groups using descriptive statistics and provide an automated method to export the results.
https://github.com/jmsquare/canonical-correlation-analysis
canonical-correlation-analysis hierarchical-clustering kmeans kmeans-clustering
Last synced: 4 months ago
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This project implements canonical correlation analysis between two data matrices. I first create the latent dimensions between the two data matrices. Then I use Kmeans and hierarchical clustering on principal component to group individuals using the latent dimensions and the distance created by the canonical analysis. Last step, I give a profiling of the different groups using descriptive statistics and provide an automated method to export the results.
- Host: GitHub
- URL: https://github.com/jmsquare/canonical-correlation-analysis
- Owner: jmsquare
- Created: 2020-07-22T03:16:02.000Z (almost 5 years ago)
- Default Branch: master
- Last Pushed: 2020-07-22T05:03:56.000Z (almost 5 years ago)
- Last Synced: 2023-05-02T11:12:59.927Z (about 2 years ago)
- Topics: canonical-correlation-analysis, hierarchical-clustering, kmeans, kmeans-clustering
- Language: R
- Homepage:
- Size: 6.84 KB
- Stars: 1
- Watchers: 0
- Forks: 1
- Open Issues: 0