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Artículos de revistas sobre el tema "Linear discriminant analysis"

Autor: Grafiati
Publicado: 4 de junio de 2021
Última modificación: 25 de julio de 2025

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1

Hino, Hideitsu, and Jun Fujiki. "ADHERENTLY PENALIZED LINEAR DISCRIMINANT ANALYSIS." Journal of the Japanese Society of Computational Statistics 28, no. 1 (2015): 125–37. http://dx.doi.org/10.5183/jjscs.1412001_219.

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2

Fitri, Fitri Hayati, Dodi Vionanda, Yenni Kurniawati, and Tessy Octavia Mukhti. "Comparison of Linear Discriminant Analysis with Robust Linear Discriminant Analysis." UNP Journal of Statistics and Data Science 2, no. 3 (2024): 353–59. http://dx.doi.org/10.24036/ujsds/vol2-iss3/206.

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Discriminant analysis is a multivariate technique related to separating distinct groups of objects and allocating new objects to predefined groups. Discriminant analysis produces a discriminant function, which is defined as a linear combination of independent variables used to classify objects into two or more groups or categories. Assumptions that must be met in linear discriminant analysis include the independent variables being multivariate normally distributed and the covariance matrices for each group being equal. It is also necessary to identify outliers in linear discriminant analysis,
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3

Zhu, Fa, Junbin Gao, Jian Yang, and Ning Ye. "Neighborhood linear discriminant analysis." Pattern Recognition 123 (March 2022): 108422. http://dx.doi.org/10.1016/j.patcog.2021.108422.

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4

Yahaya, Sharipah Soaad Syed, Yai-Fung Lim, Hazlina Ali, and Zurni Omar. "Robust Linear Discriminant Analysis." Journal of Mathematics and Statistics 12, no. 4 (2016): 312–16. http://dx.doi.org/10.3844/jmssp.2016.312.316.

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5

Hu, Wei, Weining Shen, Hua Zhou, and Dehan Kong. "Matrix Linear Discriminant Analysis." Technometrics 62, no. 2 (2019): 196–205. http://dx.doi.org/10.1080/00401706.2019.1610069.

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6

Na, Jin Hee, Myoung Soo Park, and Jin Young Choi. "Linear boundary discriminant analysis." Pattern Recognition 43, no. 3 (2010): 929–36. http://dx.doi.org/10.1016/j.patcog.2009.09.015.

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7

Chen, Songcan, and Daohong Li. "Modified linear discriminant analysis." Pattern Recognition 38, no. 3 (2005): 441–43. http://dx.doi.org/10.1016/j.patcog.2004.08.008.

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8

Tang, Hong, Tao Fang, and Peng-Fei Shi. "Laplacian linear discriminant analysis." Pattern Recognition 39, no. 1 (2006): 136–39. http://dx.doi.org/10.1016/j.patcog.2005.06.016.

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9

Zhao, Jianhua, Philip L. H. Yu, Lei Shi, and Shulan Li. "Separable linear discriminant analysis." Computational Statistics & Data Analysis 56, no. 12 (2012): 4290–300. http://dx.doi.org/10.1016/j.csda.2012.04.003.

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10

Cai, Wei, Guoyu Guan, Rui Pan, Xuening Zhu, and Hansheng Wang. "Network linear discriminant analysis." Computational Statistics & Data Analysis 117 (January 2018): 32–44. http://dx.doi.org/10.1016/j.csda.2017.07.007.

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11

Han, Na, Jigang Wu, Xiaozhao Fang, et al. "Transferable Linear Discriminant Analysis." IEEE Transactions on Neural Networks and Learning Systems 31, no. 12 (2020): 5630–38. http://dx.doi.org/10.1109/tnnls.2020.2966746.

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12

Chen, X. H., S. C. Chen, and H. Xue. "Universum linear discriminant analysis." Electronics Letters 48, no. 22 (2012): 1407. http://dx.doi.org/10.1049/el.2012.2506.

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13

Simarmata, Justin Eduardo. "Object Classification with Classical Linear Discriminant Analysis and Robust Linear Discriminant Analysis." International Journal for Research in Applied Science and Engineering Technology 6, no. 5 (2018): 84–91. http://dx.doi.org/10.22214/ijraset.2018.5012.

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14

HU, Di, Xuelong LI, and Feiping NIE. "Deep linear discriminant analysis hashing." SCIENTIA SINICA Informationis 51, no. 2 (2021): 279. http://dx.doi.org/10.1360/ssi-2019-0175.

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15

LIU, Zhong-bao, and Shi-tong WANG. "Improved linear discriminant analysis method." Journal of Computer Applications 31, no. 1 (2011): 250–53. http://dx.doi.org/10.3724/sp.j.1087.2011.00250.

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16

Bahraini, Tahereh, Seyed Mohammad Hosseini, Mahbubeh Ghasempour, and Hadi Sadoghi Yazdi. "Density-oriented linear discriminant analysis." Expert Systems with Applications 187 (January 2022): 115946. http://dx.doi.org/10.1016/j.eswa.2021.115946.

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17

Zhao, Hongwei. "Local Topological Linear Discriminant Analysis." Journal of Information and Computational Science 10, no. 18 (2013): 5858–66. http://dx.doi.org/10.12733/jics20102255.

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18

Yamashita, Toshie. "ROBUSTNESS OF LINEAR DISCRIMINANT ANALYSIS." JOURNAL OF THE JAPAN STATISTICAL SOCIETY 28, no. 1 (1998): 69–88. http://dx.doi.org/10.14490/jjss1995.28.69.

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19

Molnar, Laszlo D. "LOGLINDI: Log-Linear Discriminant Analysis." American Statistician 45, no. 4 (1991): 339. http://dx.doi.org/10.2307/2684467.

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20

Chu, Delin, Li-Zhi Liao, and Michael K. Ng. "Sparse Orthogonal Linear Discriminant Analysis." SIAM Journal on Scientific Computing 34, no. 5 (2012): A2421—A2443. http://dx.doi.org/10.1137/110851377.

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21

Liu, Yi‐Hsin, and John Maloney. "Discriminant analysis and linear programming." International Journal of Mathematical Education in Science and Technology 28, no. 2 (1997): 207–10. http://dx.doi.org/10.1080/0020739970280204.

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22

Li, Yanfang, and Jing Lei. "Sparse subspace linear discriminant analysis." Statistics 52, no. 4 (2018): 782–800. http://dx.doi.org/10.1080/02331888.2018.1469020.

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23

Wen, Jie, Xiaozhao Fang, Jinrong Cui, et al. "Robust Sparse Linear Discriminant Analysis." IEEE Transactions on Circuits and Systems for Video Technology 29, no. 2 (2019): 390–403. http://dx.doi.org/10.1109/tcsvt.2018.2799214.

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24

Zheng, Shuai, Chris Ding, Feiping Nie, and Heng Huang. "Harmonic Mean Linear Discriminant Analysis." IEEE Transactions on Knowledge and Data Engineering 31, no. 8 (2019): 1520–31. http://dx.doi.org/10.1109/tkde.2018.2861858.

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25

Ching, Wai-Ki, Delin Chu, Li-Zhi Liao, and Xiaoyan Wang. "Regularized orthogonal linear discriminant analysis." Pattern Recognition 45, no. 7 (2012): 2719–32. http://dx.doi.org/10.1016/j.patcog.2012.01.007.

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26

Yang, Wuyi, and Houyuan Wu. "Regularized complete linear discriminant analysis." Neurocomputing 137 (August 2014): 185–91. http://dx.doi.org/10.1016/j.neucom.2013.08.048.

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27

Chen, Lu-Hung, and Ci-Ren Jiang. "Sensible functional linear discriminant analysis." Computational Statistics & Data Analysis 126 (October 2018): 39–52. http://dx.doi.org/10.1016/j.csda.2018.04.005.

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28

Montanari, Angela. "Linear Discriminant Analysis and Transvariation." Journal of Classification 21, no. 1 (2004): 71–88. http://dx.doi.org/10.1007/s00357-004-0006-z.

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29

Allahyar, Amin, and Hadi Sadoghi Yazdi. "Artificial Immune Linear Discriminant Analysis." International Journal of Artificial Intelligence and Applications for Smart Devices 1, no. 1 (2013): 65–82. http://dx.doi.org/10.14257/ijaiasd.2013.1.1.05.

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30

Seungil Huh and Donghun Lee. "Linear Discriminant Analysis for Signatures." IEEE Transactions on Neural Networks 21, no. 12 (2010): 1990–96. http://dx.doi.org/10.1109/tnn.2010.2090047.

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31

Nie, Feiping, Zheng Wang, Rong Wang, Zhen Wang, and Xuelong Li. "Adaptive Local Linear Discriminant Analysis." ACM Transactions on Knowledge Discovery from Data 14, no. 1 (2020): 1–19. http://dx.doi.org/10.1145/3369870.

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32

Fung, Wing K. "Diagnostics in Linear Discriminant Analysis." Journal of the American Statistical Association 90, no. 431 (1995): 952–56. http://dx.doi.org/10.1080/01621459.1995.10476595.

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33

Hawkins, Douglas M., and Geoffrey J. McLachlan. "High-Breakdown Linear Discriminant Analysis." Journal of the American Statistical Association 92, no. 437 (1997): 136–43. http://dx.doi.org/10.1080/01621459.1997.10473610.

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34

Casin, Philippe. "Categorical multiblock linear discriminant analysis." Journal of Applied Statistics 45, no. 8 (2017): 1396–409. http://dx.doi.org/10.1080/02664763.2017.1371678.

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35

Liu, Zhonghua, Gang Liu, Jiexin Pu, Xiaohong Wang, and Haijun Wang. "Orthogonal sparse linear discriminant analysis." International Journal of Systems Science 49, no. 4 (2018): 848–58. http://dx.doi.org/10.1080/00207721.2018.1424964.

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36

Toher, Deirdre, Gerard Downey, and Thomas Brendan Murphy. "Semi-supervised linear discriminant analysis." Journal of Chemometrics 25, no. 12 (2011): 621–30. http://dx.doi.org/10.1002/cem.1408.

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37

Lv, Hao, Wenjie Xu, Juan You, and Shanbai Xiong. "Classification of freshwater fish species by linear discriminant analysis based on near infrared reflectance spectroscopy." Journal of Near Infrared Spectroscopy 25, no. 1 (2017): 54–62. http://dx.doi.org/10.1177/0967033516678801.

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Near infrared reflectance spectroscopy was used to discriminate different species of freshwater fish samples. Samples from seven freshwater fish species of the family Cyprinidae (black carp ( Mylopharyngodon piceus), grass carp ( Ctenopharyngodon idellus), silver carp ( Hypophthalmichthys molitrix), bighead carp ( Aristichthys nobilis), common carp ( Cyprinus carpio), crucian ( Carassius auratus), and bream ( Parabramis pekinensis)) were scanned by near infrared reflectance spectroscopy from 1000 nm to 1799 nm. Linear discriminant analysis models were built for the classification of species. W
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38

Wu, W., Y. Mallet, B. Walczak, et al. "Comparison of regularized discriminant analysis linear discriminant analysis and quadratic discriminant analysis applied to NIR data." Analytica Chimica Acta 329, no. 3 (1996): 257–65. http://dx.doi.org/10.1016/0003-2670(96)00142-0.

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39

Miranda-Vega, J. E., M. Rivas-López, W. Flores-Fuentes, O. Sergiyenko, L. Lindner, and J. C. Rodríguez-Quiñonez. "Reconocimiento de patrones aplicando LDA y LR a señales optoelectrónicas de sistemas de barrido óptico." Revista Iberoamericana de Automática e Informática industrial 17, no. 4 (2020): 401. http://dx.doi.org/10.4995/riai.2020.12385.

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<p class="icsmabstract">Este artículo da seguimiento a previas experimentaciones actualmente publicadas acerca de la minimización de ruido ópticoeléctrico en los sistemas de barrido óptico OSS (en inglés, Optical Scanning Systems), implementando técnicas computacionales para el reconocimiento de los patrones que se generan de cada fuente de referencia y que son utilizadas para indicar una coordenada que el OSS monitoreará. Técnicas como análisis linear discriminante LDA (en inglés, Linear Discriminant Analysis) y regresión lineal LR (en inglés, Linear Regression) fueron implementadas par
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40

YILDIZ, OLCAY TANER, and ETHEM ALPAYDIN. "LINEAR DISCRIMINANT TREES." International Journal of Pattern Recognition and Artificial Intelligence 19, no. 03 (2005): 323–53. http://dx.doi.org/10.1142/s0218001405004125.

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We discuss and test empirically the effects of six dimensions along which existing decision tree induction algorithms differ. These are: Node type (univariate versus multivariate), branching factor (two or more), grouping of classes into two if the tree is binary, error (impurity) measure, and the methods for minimization to find the best split vector and threshold. We then propose a new decision tree induction method that we name linear discriminant trees (LDT) which uses the best combination of these criteria in terms of accuracy, simplicity and learning time. This tree induction method can
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41

Busbey, Arthur Bresnahan. "Linear Discriminant Analysis on a Spreadsheet." Journal of Geological Education 37, no. 3 (1989): 161–67. http://dx.doi.org/10.5408/0022-1368-37.3.161.

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42

Zollanvari, Amin, and Berdakh Abibullaev. "Bias correction for linear discriminant analysis." Pattern Recognition Letters 151 (November 2021): 41–47. http://dx.doi.org/10.1016/j.patrec.2021.07.026.

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43

Tharwat, Alaa, Tarek Gaber, Abdelhameed Ibrahim, and Aboul Ella Hassanien. "Linear discriminant analysis: A detailed tutorial." AI Communications 30, no. 2 (2017): 169–90. http://dx.doi.org/10.3233/aic-170729.

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44

Dorvlo, Atsu S. S. "Component reduction in linear discriminant analysis." Journal of Statistical Computation and Simulation 71, no. 4 (2001): 335–44. http://dx.doi.org/10.1080/00949650108812152.

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45

Hu, Peng, Dezhong Peng, Yongsheng Sang, and Yong Xiang. "Multi-View Linear Discriminant Analysis Network." IEEE Transactions on Image Processing 28, no. 11 (2019): 5352–65. http://dx.doi.org/10.1109/tip.2019.2913511.

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46

Gochet, Willy, Antonie Stam, V. Srinivasan, and Shaoxiang Chen. "Multigroup Discriminant Analysis Using Linear Programming." Operations Research 45, no. 2 (1997): 213–25. http://dx.doi.org/10.1287/opre.45.2.213.

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47

Hamsici, O. C., and A. M. Martinez. "Bayes Optimality in Linear Discriminant Analysis." IEEE Transactions on Pattern Analysis and Machine Intelligence 30, no. 4 (2008): 647–57. http://dx.doi.org/10.1109/tpami.2007.70717.

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48

Koehler, Gary J., and S. Selcuk Erenguc. "Minimizing Misclassifications in Linear Discriminant Analysis*." Decision Sciences 21, no. 1 (1990): 63–85. http://dx.doi.org/10.1111/j.1540-5915.1990.tb00317.x.

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49

Shao, Guowan, and Nong Sang. "Regularized max-min linear discriminant analysis." Pattern Recognition 66 (June 2017): 353–63. http://dx.doi.org/10.1016/j.patcog.2016.12.030.

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50

Lei, Zhen, and Stan Z. Li. "Contextual constraints based linear discriminant analysis." Pattern Recognition Letters 32, no. 4 (2011): 626–32. http://dx.doi.org/10.1016/j.patrec.2010.12.001.

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