Log in

Relevant bibliographies by topics / Linear discriminant analysis / Journal articles

To see the other types of publications on this topic, follow the link: Linear discriminant analysis.

Journal articles on the topic 'Linear discriminant analysis'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'Linear discriminant analysis.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

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.

Full text

APA, Harvard, Vancouver, ISO, and other styles

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.

Full text

Abstract:

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,

APA, Harvard, Vancouver, ISO, and other styles

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.

Full text

APA, Harvard, Vancouver, ISO, and other styles

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.

Full text

APA, Harvard, Vancouver, ISO, and other styles

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.

Full text

APA, Harvard, Vancouver, ISO, and other styles

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.

Full text

APA, Harvard, Vancouver, ISO, and other styles

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.

Full text

APA, Harvard, Vancouver, ISO, and other styles

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.

Full text

APA, Harvard, Vancouver, ISO, and other styles

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.

Full text

APA, Harvard, Vancouver, ISO, and other styles

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.

Full text

APA, Harvard, Vancouver, ISO, and other styles

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.

Full text

APA, Harvard, Vancouver, ISO, and other styles

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.

Full text

APA, Harvard, Vancouver, ISO, and other styles

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.

Full text

APA, Harvard, Vancouver, ISO, and other styles

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.

Full text

APA, Harvard, Vancouver, ISO, and other styles

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.

Full text

APA, Harvard, Vancouver, ISO, and other styles

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.

Full text

APA, Harvard, Vancouver, ISO, and other styles

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.

Full text

APA, Harvard, Vancouver, ISO, and other styles

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.

Full text

APA, Harvard, Vancouver, ISO, and other styles

19

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

Full text

APA, Harvard, Vancouver, ISO, and other styles

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.

Full text

APA, Harvard, Vancouver, ISO, and other styles

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.

Full text

APA, Harvard, Vancouver, ISO, and other styles

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.

Full text

APA, Harvard, Vancouver, ISO, and other styles

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.

Full text

APA, Harvard, Vancouver, ISO, and other styles

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.

Full text

APA, Harvard, Vancouver, ISO, and other styles

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.

Full text

APA, Harvard, Vancouver, ISO, and other styles

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.

Full text

APA, Harvard, Vancouver, ISO, and other styles

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.

Full text

APA, Harvard, Vancouver, ISO, and other styles

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.

Full text

APA, Harvard, Vancouver, ISO, and other styles

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.

Full text

APA, Harvard, Vancouver, ISO, and other styles

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.

Full text

APA, Harvard, Vancouver, ISO, and other styles

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.

Full text

APA, Harvard, Vancouver, ISO, and other styles

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.

Full text

APA, Harvard, Vancouver, ISO, and other styles

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.

Full text

APA, Harvard, Vancouver, ISO, and other styles

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.

Full text

APA, Harvard, Vancouver, ISO, and other styles

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.

Full text

APA, Harvard, Vancouver, ISO, and other styles

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.

Full text

APA, Harvard, Vancouver, ISO, and other styles

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.

Full text

Abstract:

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

APA, Harvard, Vancouver, ISO, and other styles

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.

Full text

APA, Harvard, Vancouver, ISO, and other styles

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.

Full text

Abstract:

<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

APA, Harvard, Vancouver, ISO, and other styles

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.

Full text

Abstract:

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

APA, Harvard, Vancouver, ISO, and other styles

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.

Full text

APA, Harvard, Vancouver, ISO, and other styles

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.

Full text

APA, Harvard, Vancouver, ISO, and other styles

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.

Full text

APA, Harvard, Vancouver, ISO, and other styles

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.

Full text

APA, Harvard, Vancouver, ISO, and other styles

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.

Full text

APA, Harvard, Vancouver, ISO, and other styles

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.

Full text

APA, Harvard, Vancouver, ISO, and other styles

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.

Full text

APA, Harvard, Vancouver, ISO, and other styles

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.

Full text

APA, Harvard, Vancouver, ISO, and other styles

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.

Full text

APA, Harvard, Vancouver, ISO, and other styles

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.

Full text

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!