PCA
- Principal Components Analysis is a dimension reduction algorithm
- This is one of the key 👾 Algorithms in Polis, and enables us to visualize participants in relation to each other within the opinion landscape
- Participants are closer together in this landscape if they tend to agree.
- And further apart if they tend to disagree.
- See more on Wikipedia: https://en.wikipedia.org/wiki/Principal_component_analysis