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A Visual Interaction Framework for Dimensionality Reduction Based Data Exploration

Talkat CHI 2018 · 2018-04-21..04-26· [data-visualization]
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Proposes a concrete interaction layer for dimensionality reduction that lets users change inputs and see outputs (forward projection), or push points in the 2-D embedding and synthesize inputs that achieve them (backward projection). Delivers two visual tools—prolines that precompute and show per-attribute projection paths, and feasibility maps that sample the output grid to show constraint-satisfying regions. Implements out-of-sample extrapolation for PCA and encoder/decoder nets (autoencoders) and demonstrates on an 8-D OECD set and 784-D MNIST digits.

AI-written summary · about

  1. 0:00Introduction
  2. 4:28Forward Projection
  3. 9:24Auto Encoder
  4. 12:08Backward Projection
  5. 15:45Visibility Maps
  6. 16:51Discussion Points
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