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Titlebook: Nonlinear Dimensionality Reduction Techniques; A Data Structure Pre Sylvain Lespinats,Benoit Colange,Denys Dutykh Book 2022 The Editor(s) (

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31#
發(fā)表于 2025-3-27 00:35:14 | 只看該作者
Book 2022 new ones. It mainly focuses on visual exploration of these data by a human analyst, relying on a 2D or 3D scatter plot display obtained through Dimensionality Reduction.?.Performing diagnosis of an energy system requires identifying relations between observed monitoring variables and the associated
32#
發(fā)表于 2025-3-27 01:13:46 | 只看該作者
33#
發(fā)表于 2025-3-27 07:00:17 | 只看該作者
34#
發(fā)表于 2025-3-27 12:40:55 | 只看該作者
cation of the methods to the representation of expert-designThis book proposes tools for analysis of multidimensional and metric data, by establishing a state-of-the-art of the existing solutions and developing new ones. It mainly focuses on visual exploration of these data by a human analyst, relyi
35#
發(fā)表于 2025-3-27 15:59:06 | 只看該作者
36#
發(fā)表于 2025-3-27 20:53:41 | 只看該作者
http://image.papertrans.cn/n/image/667401.jpg
37#
發(fā)表于 2025-3-28 01:16:22 | 只看該作者
https://doi.org/10.1007/978-3-030-81026-9dimensionality reduction; data mining; intrinsic dimensionality; mapping evaluation; high dimensional da
38#
發(fā)表于 2025-3-28 02:15:22 | 只看該作者
39#
發(fā)表于 2025-3-28 07:47:56 | 只看該作者
Map Interpretation,Map interpretation encompasses several tools enhancing the map with additional information. Some allow to study the link between axes of the data and embedding space, as detailed Sect. 4.1, while other perform local evaluation of distortions deriving concepts of global map evaluation, as described in Sects. 4.2 and 4.3.
40#
發(fā)表于 2025-3-28 11:40:35 | 只看該作者
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