Hole or Grain? A Section Pursuit Index for Finding Hidden Structure in Multip…
Multivariate data is often visualized using linear projections, produced by techniques such as principal component analysis, linear discriminant analysis, and projection pursuit. A problem with pro…
Burning Sage : Reversing the Curse of Dimensionality in the Visualization of …
In high-dimensional data analysis, the curse of dimensionality reasons that points tend to be far away from the center of the distribution and on the edge of high-dimensional space. Contrary to thi…
A Slice Tour for Finding Hollowness in High-Dimensional Data
Taking projections of high-dimensional data is a common analytical and visualization technique in statistics for working with high-dimensional problems. Sectioning, or slicing, through high dimensi…
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