Discriminant analysis of regularized multidimensional scaling
نویسندگان
چکیده
منابع مشابه
Regularized mixture discriminant analysis
In this paper we seek a Gaussian mixture model (GMM) of the classconditional densities for plug-in Bayes classification. We propose a method for setting the number of the components and the covariance matrices of the class-conditional GMMs. It compromises between simplicity of the model selection based on the Bayesian information criterion (BIC) and the high accuracy of the model selection base...
متن کاملRegularized Discriminant Analysis
Linear and quadratic discriminant analysis are considered in the small sample high-dimensional setting. Alternatives to the usual maximum likelihood (plug-in) estimates for the covariance matrices are proposed. These alternatives are characterized by two parameters, the values of which are customized to individual situations by jointly minimizing a sample based estimate of future misclassificat...
متن کاملComputation of Regularized Linear Discriminant Analysis
This paper is focused on regularized versions of classification analysis and their computation for high-dimensional data. A variety of regularized classification methods has been proposed and we critically discuss their computational aspects. We formulate several new algorithms for shrinkage linear discriminant analysis, which exploits a shrinkage covariance matrix estimator towards a regular t...
متن کاملRegularized discriminant analysis for face recognition
This paper studies Regularized Discriminant Analysis (RDA) in the context of face recognition. We check RDA sensitivity to different photometric preprocessing methods and compare its performance to other classifiers. Our study shows that RDA is better able to extract the relevant discriminatory information from training data than the other classifiers tested, thus obtaining a lower error rate. ...
متن کاملRegularized Gaussian Discriminant Analysis through Eigenvalue Decomposition
Friedman has proposed a regularization technique RDA of discriminant anal ysis in the Gaussian framework RDA makes use of two regularization parameters to design an intermediate classi cation rule between linear and quadratic discriminant analysis In this paper we propose an alternative approach to design classi cation rules which have also a median position between linear and quadratic discrim...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Numerical Algebra, Control & Optimization
سال: 2021
ISSN: 2155-3297
DOI: 10.3934/naco.2020024