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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

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© 2021 The Computational Democracy Project