Results 31 to 40 of about 169,803 (261)

Discriminant Analysis of Bronchitis Cancer Data

Journal of Kufa for Mathematics and Computer, 2012
The aim of this research is to predict membership in two mutually exclusive groups of bronchitis cancer patients, and allocating new patients using Discriminant Analysis.
Nazera Khalil Dakhil, Yahya Mahdi Al-mayali, Gahssan Dahair Al-Thabhawee   +2 more
doaj   +1 more source

Variational nonparametric discriminant analysis [PDF]

Computational Statistics & Data Analysis, 2020
Variable selection and classification are common objectives in the analysis of high-dimensional data. Most such methods make distributional assumptions that may not be compatible with the diverse families of distributions data can take. A novel Bayesian nonparametric discriminant analysis model that performs both variable selection and classification ...
Weichang Yu 0001, Lamiae Azizi, John T. Ormerod   +2 more
openaire   +2 more sources

Soft Hardware, Flowing Software: Reconfigurable Microfluidics for Adaptable Chemical Computation

Advanced Materials, EarlyView.
A reconfigurable microfluidic platform based on soft, photo‐printable, and chemically erasable hydrogel structures printed and erased in situ is used to control flow routing, mixing, chemical patterning, and even chemical computing. Using hardware to control chemical computations decouples logic function from molecular composition, demonstrated via ...
Piet J. M. Swinkels, Brigitta Dúzs, Oliver Skarsetz, Kohei Nishiyama, Andreas Walther   +4 more
wiley   +1 more source

DISCRIMINANT ANALYSIS IN MARKETING RESEARCH [PDF]

Management & Marketing, 2010
This paper classifies among marketing researches aiming to study the influence that the following independent variables (explanatory) have: "Estimating the expenses incurred in Centre Development Region, including country of residence" and the variable ...
Erika KULCSÁR
doaj  

Multi-View Classification via Adaptive Discriminant Analysis

IEEE Access, 2019
In many real applications, an object is usually represented with multiple views, providing compatible and complementary information to each other. Therefore, it is highly desirable to recognize the object from distinct and even heterogeneous views.
Deyan Xie, Qin Li, Wei Xia, Shiwei Pang, Huihui He, Quanxue Gao   +5 more
doaj   +1 more source

Enhancing class discrimination in Kernel Discriminant Analysis [PDF]

2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2015
In this paper, we propose an optimization scheme aiming at optimal nonlinear data projection, in terms of Fisher ratio maximization. To this end, we formulate an iterative optimization scheme consisting of two processing steps: optimal data projection calculation and optimal class representation determination.
Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas   +2 more
openaire   +3 more sources

Interface‐Engineered Binary Framework Composites: Advancing Porous Materials for Precision Medicine

Advanced Materials Interfaces, EarlyView.
Binary framework composites integrate two complementary porous architectures into a unified platform, enabling multifunctional design, enhanced structural tunability, and improved physicochemical performance. By combining high surface area, ordered porosity, interfacial synergy, and versatile functionalization, these hybrid materials offer new ...
Navid Rabiee, Mohammad Rabiee, Mohammad Akrami‐Hasan‐Kohal, Sidi A. Bencherif   +3 more
wiley   +1 more source

CorrDA: correlation-matrix driven discriminant analysis

Statistical Theory and Related Fields
This article introduces a novel approach to integrating correlation matrix information from training samples to construct a classification rule for testing samples.
Feifei Yan, Yingjie Zhang, Jing Ning, Hai Shu, Ziqi Chen   +4 more
doaj   +1 more source

Image clustering using exponential discriminant analysis

IET Computer Vision, 2015
Local learning based image clustering models are usually employed to deal with images sampled from the non‐linear manifold. Recently, linear discriminant analysis (LDA) based various clustering models were proposed.
Nasir Ahmed
doaj   +1 more source

End‐to‐End Sensing Systems for Breast Cancer: From Wearables for Early Detection to Lab‐Based Diagnosis Chips

Advanced Materials Technologies, EarlyView.
This review explores advances in wearable and lab‐on‐chip technologies for breast cancer detection. Covering tactile, thermal, ultrasound, microwave, electrical impedance tomography, electrochemical, microelectromechanical, and optical systems, it highlights innovations in flexible electronics, nanomaterials, and machine learning.
Neshika Wijewardhane, Lyn I. Jones, Richard M. Martin, Helen Winter, Faezeh Arab Hassani   +4 more
wiley   +1 more source