Skip to content
Descubridor Institucional UMAR
Inicio
Búsqueda avanzada
Explorar
Inicio
Búsqueda avanzada
Explorar
Login
Language
English
Deutsch
Español
Français
Italiano
All Fields
Title
Author
Subject
Call Number
ISBN/ISSN
Tag
Find
Advanced
SFMD‐X: A New Functional Data Classifier Based on Shrinkage Functional Mahalanobis Distance
SFMD‐X: A New Functional Data Classifier Based on Shrinkage Functional Mahalanobis Distance
Fuente:
Wiley Open Access
Saved in:
Bibliographic Details
Main Authors:
Shunke Bao
,
Jiakun Guo
,
Zhouping Li
Format:
Artículo Open Access
Published:
Wiley
2024
Subjects:
Journal of Chemometrics
Online Access:
Acceder al recurso
Tags:
Add Tag
No Tags, Be the first to tag this record!
Cite this
Text this
Email this
Print
Export Record
Export to RefWorks
Export to EndNoteWeb
Export to EndNote
Save to List
Permanent link
Holdings
Description
Comments
Similar Items
Staff View
Be the first to leave a comment!
Your Comment
You must be logged in first
Similar Items
Self‐Optimizing Radial Basis Function Support Vector Classifier (SO‐RBFSVC)
by: Qudus Ayodeji Thanni, et al.
Published: (2025)
Augmenting Near‐Infrared Spectral Data With Auxiliary Regression Generative Adversarial Network for Enhanced Prediction of Watermelon Soluble Solids Content
by: Xiong Li, et al.
Published: (2026)
A Method for Measuring Similarity or Distance of Molecular and Arbitrary Graphs Based on a Collection of Topological Indices
by: Mert Sinan Oz
Published: (2025)
Optimizing Distance‐Based Classification in Hyperspectral Imaging: a Tutorial on the Influence of Spectral Pretreatments
by: Ana Herrero‐Langreo, et al.
Published: (2026)
Fast Partition‐Based Cross‐Validation With Centering and Scaling for XTX$$ {\mathbf{X}}^{\mathbf{T}}\mathbf{X} $$ and XTY$$ {\mathbf{X}}^{\mathbf{T}}\mathbf{Y} $$
by: Ole‐Christian Galbo Engstrøm, et al.
Published: (2025)
