终止 发表于 2025-3-25 04:56:43

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CHASE 发表于 2025-3-25 07:41:42

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英寸 发表于 2025-3-25 12:17:14

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Feigned 发表于 2025-3-25 19:01:30

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MIRTH 发表于 2025-3-25 20:05:41

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摊位 发表于 2025-3-26 00:15:14

Changiz Valmohammadi,Farkhondeh Mortaz Hejri. To visualize high-dimensional data, projection methods are necessary. We present linear projection (principal component analysis, Karhunen-Loève transform, singular value decomposition, eigenvector projection, Hotelling transform, proper orthogonal decomposition, multidimensional scaling) and nonl

placebo 发表于 2025-3-26 07:33:12

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Bernstein-test 发表于 2025-3-26 09:22:17

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缺陷 发表于 2025-3-26 14:20:01

Conceptualizing the Circular Economyy or a Moore machine. This leads to recurrent or auto-regressive models. Building forecasting models is essentially a regression task. The training data sets for forecasting models are generated by finite unfolding in time. Popular linear forecasting models are auto-regressive models (AR) and genera

minaret 发表于 2025-3-26 20:02:52

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查看完整版本: Titlebook: Data Analytics; Models and Algorithm Thomas A. Runkler Textbook 20162nd edition Springer Fachmedien Wiesbaden 2016 data mining.knowledge di