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Dimensionality reduction

Process of reducing the number of random variables under consideration

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πŸ“Œ Topics

  • Data Visualization (1)
  • Dimensionality Reduction (1)
  • Human-Computer Interaction (1)

🏷️ Keywords

ShaRP (1) Β· Multidimensional Projections (1) Β· Dimensionality Reduction (1) Β· Data Visualization (1) Β· Shape-Regularized (1) Β· High-dimensional Data (1) Β· Interactive Visualization (1)

πŸ“– Key Information

Dimensionality reduction, or dimension reduction, is the transformation of data from a high-dimensional space into a low-dimensional space so that the low-dimensional representation retains some meaningful properties of the original data, ideally close to its intrinsic dimension. Working in high-dimensional spaces can be undesirable for many reasons; raw data are often sparse as a consequence of the curse of dimensionality, and analyzing the data is usually computationally intractable. Dimensionality reduction is common in fields that deal with large numbers of observations and/or large numbers of variables, such as signal processing, speech recognition, neuroinformatics, and bioinformatics.

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Visualization (graphics)(1)Data and information visualization(1)Dimensionality reduction

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