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Einblick - Data Visualization
基於力標準化和可調交互作用的 t-SNE 廣義框架：吸引-排斥集群
本文提出了一種新的數據可視化方法，稱為吸引-排斥集群 (ARS) 可視化，該方法將 t-SNE 視為受吸引力和排斥力驅動的交互作用代理集群，並通過力標準化和可調交互作用對其進行了改進，從而實現更快的收斂速度和更好的可視化效果。
Attraction-Repulsion Swarming (ARS): A Faster Alternative to t-SNE for Data Visualization
Attraction-Repulsion Swarming (ARS) is a novel data visualization method inspired by t-SNE that uses normalized attraction-repulsion dynamics to achieve faster convergence and better-separated clusters without relying on complex optimization techniques.
Diceplot: An R and Python Package for Visualizing High-Dimensional Categorical Data
Diceplot is a new visualization tool available in R and Python that addresses the challenge of representing high-dimensional categorical data in a single, comprehensive view, bridging the gap between high-level overviews and detailed insights.
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