Results 1 to 10 of about 197,951 (127)

Localized Linear Discriminant Analysis [PDF]

, 2007
Despite its age, the Linear Discriminant Analysis performs well even in situations where the underlying premises like normally distributed data with constant covariance matrices over all classes are not met.
Czogiel, Irina, Luebke, Karsten, Weihs, Claus, Zentgraf, Marc   +3 more
core   +6 more sources

Linear discriminant analysis : a detailed tutorial [PDF]

AI Communications, 2017
Linear Discriminant Analysis (LDA) is a very common technique for dimensionality reduction problems as a preprocessing step for machine learning and pattern classification applications.
Barshan, Baudat, Belhumeur, Boulgouris, Chan, Chen, Chen, Coomans, Dai, Dudoit, Friedman, Gaber, Gao, Hastie, Hinton, Honda, Hu, Héberger, Li, Liu, Lu, Lu, Lu, Noushath, Pan, Park, Park, Rezzi, Saeys, Schölkopf, Sharma, Sharma, Sharma, Sharma, Sharma, Smola, Swets, Tantawi, Tharwat, Thomas, Turk, Venna, Wu, Yang, Yang, Yang, Ye, Yu, Zhuang   +48 more
core   +3 more sources

Classification of Heart Disease Using Linear Discriminant Analysis Algorithm [PDF]

E3S Web of Conferences, 2023
Ischaemic coronary heart disease is the number one cause of death globally. Detecting this disease can only be done by consulting directly with a cardiologist at a cost that is certainly not small.
Isnanto R. Rizal, Rashad Ibnu, Edi Widodo Catur   +2 more
doaj   +1 more source

L₂,₁-Norm Regularized Robust and Sparse Linear Discriminant Analysis via an Alternating Direction Method of Multipliers

IEEE Access, 2023
Recently, an absolute value inequalities discriminant analysis criterion with robustness and sparseness for supervised dimensionality reduction was studied.
Chun-Na Li, Yi Li, Yan-Hui Meng, Pei-Wei Ren, Yuan-Hai Shao   +4 more
doaj   +1 more source

Efficient Regression-Based Linear Discriminant Analysis for Side-Channel Security Evaluations

Transactions on Cryptographic Hardware and Embedded Systems, 2023
32-bit software implementations become increasingly popular for embedded security applications. As a result, profiling 32-bit target intermediate values becomes increasingly needed to evaluate their side-channel security.
Gaëtan Cassiers, Henri Devillez, François-Xavier Standaert, Balazs Udvarhelyi   +3 more
doaj   +1 more source

Linear discriminant analysis of interclass correlated spatio-temporal data

Lietuvos Matematikos Rinkinys, 2003
There is not abstract.
Jūratė Šaltytė-Benth, Kęstutis Dučinskas   +1 more
doaj   +3 more sources

Matrix Linear Discriminant Analysis [PDF]

Technometrics, 2019
We propose a novel linear discriminant analysis approach for the classification of high-dimensional matrix-valued data that commonly arises from imaging studies. Motivated by the equivalence of the conventional linear discriminant analysis and the ordinary least squares, we consider an efficient nuclear norm penalized regression that encourages a low ...
Wei Hu, Weining Shen, Hua Zhou 0001, Dehan Kong   +3 more
openaire   +3 more sources

MINERAL WATERS CLASSIFICATION USING FUZZY LINEAR DISCRIMINANT ANALYSIS

Studia Universitatis Babes-Bolyai Chemia, 2020
Fuzzy linear discriminant analysis is efficiently applied for the characterization and classification of some Romanian and German mineral waters according to their mineral composition. The samples were successfully classified according to the degrees of
Alexandrina GUIDEA, Radu D. GĂCEANU, Horia F. POP, Costel SÂRBU   +3 more
doaj   +1 more source

Z-score linear discriminant analysis for EEG based brain-computer interfaces. [PDF]

PLoS ONE, 2013
Linear discriminant analysis (LDA) is one of the most popular classification algorithms for brain-computer interfaces (BCI). LDA assumes Gaussian distribution of the data, with equal covariance matrices for the concerned classes, however, the assumption ...
Rui Zhang, Peng Xu, Lanjin Guo, Yangsong Zhang, Peiyang Li, Dezhong Yao   +5 more
doaj   +1 more source

Similarity-based Fisher Linear Discriminant Analysis for Triangular Fuzzy Number [PDF]

Jisuanji gongcheng, 2018
For the classification problem of the triangular fuzzy number,this paper constructs similarity-based Fisher linear discriminant analysis model.The model is the generalization of the classical Fisher linear discriminant analysis model.The similarity of ...
HUANG Ya’nan,WEI Lili
doaj   +1 more source