Results 31 to 40 of about 111,184 (298)

A Linear Discriminant Analysis and Classification Model for Breast Cancer Diagnosis

Applied Sciences, 2022
Although most cases are identified at a late stage, breast cancer is the most public malignancy amongst women globally. However, mammography for the analysis of breast cancer is not routinely available at all general hospitals.
Marion Olubunmi Adebiyi, Micheal Olaolu Arowolo, Moses Damilola Mshelia, Oludayo O. Olugbara   +3 more
doaj   +1 more source

Variable selection and updating in model-based discriminant analysis for high dimensional data with food authenticity applications [PDF]

, 2010
Food authenticity studies are concerned with determining if food samples have been correctly labelled or not. Discriminant analysis methods are an integral part of the methodology for food authentication.
Nema Dean, Dean, Nema, Murphy, T.B., Raftery, A.E., Murphy, Thomas Brendan, Thomas Brendan Murphy, Raftery, Adrian E., Adrian E. Raftery, Dean, N.   +8 more
core   +1 more source

Sparse Functional Linear Discriminant Analysis [PDF]

, 2022
Functional linear discriminant analysis offers a simple yet efficient method for classification, with the possibility of achieving a perfect classification.
Ahn, Jeongyoun, Jeon, Yongho, Park, Juhyun   +2 more
core   +3 more sources

Face recognition using Principle Component Analysis and Linear Discriminant Analysis [PDF]

, 2015
Face recognition is the process of identification of a person by their facial images. This technique makes it possible to use the facial image of a person to authenticate him into a secure system.
Zuhori, Syed Tauhid, Mumu Aktar, Mst. Taskia Khatun, Aktar, Mumu, Mahmud, Firoz, Firoz Mahmud, Shyla Afroge, Pal, Biprodip, Syed Tauhid Zuhori, Biprodip Pal, Khatun, Mst Taskia, Afroge, Shyla   +11 more
core   +1 more source

QR-FOLDA: A Fast Orthogonal Linear Discriminant Analysis Based on QR Decomposition

Mathematics
Orthogonal Linear Discriminant Analysis (OLDA) has been widely studied for dimensionality reduction, as the orthogonality constraints on its projection matrix enable more effective elimination of redundant features compared to conventional Linear ...
Yuchuan Liu, Qiuxu Yi, Yulin Deng, Yu Rao, Bocheng Wang, Mi Zhang   +5 more
doaj   +1 more source

Initializing probabilistic linear discriminant analysis [PDF]

2017 25th European Signal Processing Conference (EUSIPCO), 2017
Publication in the conference proceedings of EUSIPCO, Kos island, Greece ...
Stylianos Moschoglou, Mihalis A. Nicolaou, Yannis Panagakis, Stefanos Zafeiriou   +3 more
openaire   +3 more sources

Classifying Raman Spectra of Colon Cells by Principal Component Analysis—Linear Discriminant Analysis and Partial Least Squares—Linear Discriminant Analysis Methods

Applied Sciences
Colorectal cancer is one of the most commonly diagnosed cancers in developed countries. Although the gold-standard diagnosis technique is the histological analysis of colon biopsies, it is important to investigate different diagnostic tools because the ...
Maria Lasalvia, Vito Capozzi, Giuseppe Perna   +2 more
doaj   +1 more source

Linear discriminant analysis and principal component analysis to predict coronary artery disease

Health Informatics Journal, 2020
Coronary artery disease is one of the most prevalent chronic pathologies in the modern world, leading to the deaths of thousands of people, both in the United States and in Europe.
Carlo Ricciardi, Antonio Saverio Valente, Kyle Edmund, Valeria Cantoni, Roberta Green, Antonella Fiorillo, Ilaria Picone, Stefania Santini, Mario Cesarelli   +8 more
doaj   +1 more source

Evaluating the effect of γ‐oryzanol on MASLD pathology using a medaka fish model

FEBS Open Bio, EarlyView.
This study explores a liver disease called MASLD, which is increasing worldwide and can lead to serious damage. Researchers used medaka fish instead of rodents to test a food compound, γ‐oryzanol. Fish fed this compound had less liver fat and healthier gut bacteria.
Yukako Ito, Haduki Asano, Ayano Ueki, Joe Sakamoto, Yasuhiro Kamei, Hayato Tokumoto, Ayaka Yazawa, Shigeki Kamitani   +7 more
wiley   +1 more source

OFFLINE LINEAR DISCRIMINANT ANALYSIS CLASSFICATION OF TWO CLASS EEG SIGNALS

Iraqi Journal of Information & Communication Technology, 2019
This paper investigates the use of LDA algorithm In the EEG classification. EEG feature extraction is Implemented to reduce the dimensionality of data. The Sliding Window Technique (SWT) is used to calculate the mean within each window samples.
Haider A. Abdulkareem, Mohammed Z. Al-Faiz   +1 more
doaj   +1 more source