沙发
发表于 2025-3-28 16:20:31
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连锁,连串
发表于 2025-3-28 19:44:15
What Is Dimensionality Reduction (DR)?,ity to generate, gather, and store volumes of data (order of tera- and exo-bytes, 10. − 10. daily) has far outpaced our ability to derive useful information from it in many fields, with available computational resources. Therefore, data reduction is a critical step in order to turn large datasets in
爆炸
发表于 2025-3-29 00:58:18
Conventional Statistical Approaches,space. Statistical methods aim to preserve characteristic parameters such as mean, variance, and covariance of features in the population, as estimated from the dataset. Methods include Principal Component Analysis (PCA) and its variants, Independent component analysis and Discriminant Analysis. Lin
Apraxia
发表于 2025-3-29 06:08:43
Geometric Approaches,r of features. After the classical PCA that fits a linear (flat) subspace so that the total sum of squared distances of the data from the subspace (errors) is minimized, any distance function in this space can be used to endow it with a geometric structure, where ordinary intuition can be particular
Left-Atrium
发表于 2025-3-29 10:50:17
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febrile
发表于 2025-3-29 11:40:34
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