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Books on the topic 'Data Dimensionality Reduction'

Author: Grafiati
Published: 5 September 2021
Last updated: 11 March 2023

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1

Garzon, Max, Ching-Chi Yang, Deepak Venugopal, Nirman Kumar, Kalidas Jana, and Lih-Yuan Deng, eds. Dimensionality Reduction in Data Science. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-05371-9.

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2

Wang, Jianzhong. Geometric Structure of High-Dimensional Data and Dimensionality Reduction. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-27497-8.

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3

service), SpringerLink (Online, ed. Geometric Structure of High-Dimensional Data and Dimensionality Reduction. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011.

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4

Kramer, Oliver. Dimensionality Reduction with Unsupervised Nearest Neighbors. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.

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5

Barrett, Philip James. Exploratory database visualisation: The application & assessment of data and dimensionality reduction. Birmingham: Aston University. Department of Computer Science and Applied Mathematics, 1995.

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6

Geometric data analysis: An empirical approach to dimensionality reduction and the study of patterns. New York: Wiley, 2001.

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7

Nonlinear Dimensionality Reduction. Springer New York, 2010.

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8

Dimensionality Reduction in Data Science. Springer International Publishing AG, 2022.

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9

Multilabel Dimensionality Reduction. CRC Press, 2012.

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10

Ye, Jieping, Shuiwang Ji, and Liang Sun. Multi-Label Dimensionality Reduction. Taylor & Francis Group, 2014.

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11

Ye, Jieping, Shuiwang Ji, and Liang Sun. Multi-Label Dimensionality Reduction. Taylor & Francis Group, 2016.

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12

Ye, Jieping, Shuiwang Ji, and Liang Sun. Multi-Label Dimensionality Reduction. Taylor & Francis Group, 2016.

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13

Nonlinear Dimensionality Reduction (Information Science and Statistics). Springer, 2007.

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14

Geometric Structure of HighDimensional Data and Dimensionality Reduction. Springer, 2012.

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15

Krämer, Oliver. Dimensionality Reduction with Unsupervised Nearest Neighbors. Springer Berlin / Heidelberg, 2013.

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16

Multilinear Subspace Learning Dimensionality Reduction Of Multidimensional Data. CRC Press, 2013.

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17

Plataniotis, Konstantinos N., Haiping Lu, and Anastasios Venetsanopoulos. Multilinear Subspace Learning: Dimensionality Reduction of Multidimensional Data. Taylor & Francis Group, 2013.

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18

Lu, Haiping. Multilinear Subspace Learning: Dimensionality Reduction of Multidimensional Data. Taylor & Francis Group, 2013.

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19

Plataniotis, Konstantinos N., Haiping Lu, and Anastasios Venetsanopoulos. Multilinear Subspace Learning: Dimensionality Reduction of Multidimensional Data. Taylor & Francis Group, 2013.

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20

Nonlinear Dimensionality Reduction (Information Science and Statistics). Springer, 2007.

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21

Tripathy, B. K., Anveshrithaa S, and Shrusti Ghela. Unsupervised Learning Approaches for Dimensionality Reduction and Data Visualization. Taylor & Francis Group, 2021.

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22

Unsupervised Learning Approaches for Dimensionality Reduction and Data Visualization. Taylor & Francis Group, 2021.

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23

Tripathy, B. K., Shrusti Ghela, and Anveshrithaa Sundareswaran. Unsupervised Learning Approaches for Dimensionality Reduction and Data Visualization. Taylor & Francis Group, 2021.

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24

Dutykh, Denys, Sylvain Lespinats, and Benoit Colange. Nonlinear Dimensionality Reduction Techniques: A Data Structure Preservation Approach. Springer International Publishing AG, 2021.

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25

Tripathy, B. K., Anveshrithaa S, and Shrusti Ghela. Unsupervised Learning Approaches for Dimensionality Reduction and Data Visualization. Taylor & Francis Group, 2021.

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26

Nonlinear Dimensionality Reduction Techniques: A Data Structure Preservation Approach. Springer International Publishing AG, 2022.

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27

Tripathy, B. K., Shrusti Ghela, and Anveshrithaa Sundareswaran. Unsupervised Learning Approaches for Dimensionality Reduction and Data Visualization. Taylor & Francis Group, 2021.

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28

Carreira-Perpinan, Miguel A. Dimensionality Reduction (Chapman & Hall/Crc Computer Science & Data Analysis). Chapman & Hall/CRC, 2009.

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29

Kramer, Oliver. Dimensionality Reduction with Unsupervised Nearest Neighbors. Springer, 2013.

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30

Kramer, Oliver. Dimensionality Reduction with Unsupervised Nearest Neighbors. Springer, 2016.

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31

Kirby, Michael. Geometric Data Analysis: An Empirical Approach to Dimensionality Reduction and the Study of Patterns. Wiley & Sons, Incorporated, John, 2008.

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32

Kirby, Michael. Geometric Data Analysis: An Empirical Approach to Dimensionality Reduction and the Study of Patterns. Wiley-Interscience, 2000.

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