◐ learning · kind concept · level 2 · 14h
- Implementa: Unsupervised Learning
- Requiere: Linear Algebra
Projecting high-dimensional data to fewer dimensions while keeping structure. Fights the curse of dimensionality and makes data visualisable.
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.
Enlaces
- Implementa: Unsupervised Learning
- Requiere: Linear Algebra