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Dimensionality reduction
Process of reducing the number of random variables under consideration
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π Topics
- Data Visualization (1)
- Dimensionality Reduction (1)
- Human-Computer Interaction (1)
π·οΈ 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)
π 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.
π° Related News (1)
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πΊπΈ ShaRP: Shape-Regularized Multidimensional Projections
arXiv:2306.00554v1 Announce Type: cross Abstract: Projections, or dimensionality reduction methods, are techniques of choice for the visual explorati...
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People and organizations frequently mentioned alongside Dimensionality reduction:
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Data and information visualization Β· 1 shared articles