Results 41 to 50 of about 536,157 (280)

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

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

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

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

Vision‐Augmented Wearable Interfaces: Bioinspired Approaches for Realistic AI‐Human‐Machine Interaction

Advanced Materials Technologies, EarlyView.
This review presents recent progress in vision‐augmented wearable interfaces that combine artificial vision, soft wearable sensors, and exoskeletal robots. Inspired by biological visual systems, these technologies enable multimodal perception and intelligent human–machine interaction.
Jihun Lee, Gwuidong Ryu, Kisoo Kim, Feng Xu, Won Gu Lee   +4 more
wiley   +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

Integrated Transcriptomics Reveals Evolutionary Trajectories and Cell Density‐Dependent Mechanisms in Aldosterone‐Producing Adenomas

Advanced Science, EarlyView.
Aldosterone‐producing adenomas (APAs) develop via two distinct paths: directly from adrenal zona glomerulosa (zG) cells, or stepwise from zG cells through aldosterone‐producing micronodules (APMs) before progressing to APAs. Advanced single‐cell and spatial analyses identified distinct cell states linked to oxidative stress and cell–cell interactions ...
Zhuolun Sun, Changying Jing, Martina Tetti, Siyuan Gong, Jia Wei, Yingxian Pang, Martin Reincke, Tracy Ann Williams   +7 more
wiley   +1 more source

Fuzzy Discriminant Analysis with Application

المجلة العراقية للعلوم الاحصائية
In the current research, two methods of data classification were used, namely; the Linear Discriminant analysis (LDA) and the Fuzzy Discriminant Analysis (FDA).
Rafal Talal Saadi, Alla A. Hamoodat
doaj   +1 more source

The Geometry of Nonlinear Embeddings in Kernel Discriminant Analysis

, 2020
Fisher's linear discriminant analysis is a classical method for classification, yet it is limited to capturing linear features only. Kernel discriminant analysis as an extension is known to successfully alleviate the limitation through a nonlinear ...
Kim, Jiae, Lee, Yoonkyung, Liang, Zhiyu
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