Before revision: Ideal point estimation and dimensionality reduction have long been utilized to simplify and cluster complex, high-dimensional political data(e. g., roll-call votes and surveys) for use in analysis and visualization.
After revision: Ideal point estimation and dimensionality reduction have long been utilized to simplify and cluster high-dimensional political data(e. g., roll-call votes and surveys) for use in analysis and visualization.