Autopsy 发表于 2025-3-21 17:59:14

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人类 发表于 2025-3-21 22:09:46

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Carcinogen 发表于 2025-3-22 01:27:51

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废墟 发表于 2025-3-22 07:41:53

Spectral Dimensionality Reduction,In this chapter a common mathematical framework is provided which forms the basis for subsequent chapters. Generic aspects are covered, after which specific dimensionality reduction approaches are briefly described.

表两个 发表于 2025-3-22 09:55:33

Postscript,In this “postscript” a number of aspects are discussed which include how to measure success, non-spectral dimensionality techniques, and also available implementations. The chapter concludes with future research considerations.

意外 发表于 2025-3-22 12:57:18

Modelling the Manifold, graphs, and automatic estimation of relevant parameters; how manifold modelling techniques deal with various topologies of the data; and the problem of noise. Each of these aspects are supported by an illustrative example. The interaction between these key issues is also discussed.

ARC 发表于 2025-3-22 20:47:09

Intrinsic Dimensionality,nvalues and also local and global aspects of the data. In addition, limitations of existing dimensionality reduction approaches are discussed, especially with respect to the range of possible embedding dimensions and reduced performance at higher embedding dimensionalities.

rectocele 发表于 2025-3-22 21:15:24

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arcane 发表于 2025-3-23 04:42:23

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甜得发腻 发表于 2025-3-23 07:37:43

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查看完整版本: Titlebook: Open Problems in Spectral Dimensionality Reduction; Harry Strange,Reyer Zwiggelaar Book 2014 The Author(s) 2014 Big Data.Machine Learning.