Interpretable discriminant analysis for functional data supported on random nonlinear domains with an application to Alzheimer's disease. [PDF]
Lila E +3 more
europepmc +1 more source
Consumers' Intention to Use Circular Business Models: A Configurational Analysis
ABSTRACT Circular business models (CBMs) integrate ecological sustainability and resource efficiency into core business strategies, but their success depends on consumers' intention to use. Grounded in expectancy–value theory, this study investigates how product‐related factors (perceived usefulness, convenience, value for money, and performance risk ...
Christof Falkenberg +4 more
wiley +1 more source
Classification of LED Packages for Quality Control by Discriminant Analysis, Neural Network and Decision Tree. [PDF]
Shim H, Kim SK.
europepmc +1 more source
ABSTRACT In a business environment characterized by technological turbulence and an increasing societal demand for greater sustainability, companies seeking to enhance their growth are compelled to foster organizational cultures that promote continuous innovation.
José Bocoya‐Maline +2 more
wiley +1 more source
Fault Diagnosis of a Multistage Centrifugal Pump Using Explanatory Ratio Linear Discriminant Analysis. [PDF]
Ullah S, Ahmad Z, Kim JM.
europepmc +1 more source
Construction of "De-Capacity Reduction" financial performance index for Chinese coal industry enterprises --based on Fisher discriminant analysis. [PDF]
Zhu L.
europepmc +1 more source
Isopropanol sensor based on sprayed In2S3 thin film using linear discriminant analysis for real-time selectivity. [PDF]
Souissi R +4 more
europepmc +1 more source
Pediatric obstructive sleep apnea diagnosis: leveraging machine learning with linear discriminant analysis. [PDF]
Qin H +16 more
europepmc +1 more source
Near-Infrared Spectroscopy Combined with Fuzzy Improved Direct Linear Discriminant Analysis for Nondestructive Discrimination of Chrysanthemum Tea Varieties. [PDF]
Zhang J +5 more
europepmc +1 more source
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Nonparametric Discriminant Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence, 1983A nonparametric method of discriminant analysis is proposed. It is based on nonparametric extensions of commonly used scatter matrices. Two advantages result from the use of the proposed nonparametric scatter matrices. First, they are generally of full rank. This provides the ability to specify the number of extracted features desired.
Keinosuke Fukunaga, James M. Mantock
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