Results 81 to 90 of about 536,157 (280)

Penerapan Analisis Diskriminan dalam Pembedaan Kelas Umur Tegakan Pinus

Jurnal Manajemen Hutan Tropika, 2011
This  study  describes the use of discriminant anylisis for pine (Pinus spp.) stand class age distinction.  Aim of this  study were (1) to arrange stand age class based on variable of aerial photograph by non hierarchy cluster analysis, and (2) to find ...
P Priyanto
doaj  

Multivariate discriminant analysis of the electrocardiogram

Российский технологический журнал
Objectives. The article presents a study of heart rate variability using multivariate discriminant analysis. Representing an effective statistical method of classification, discriminant analysis can be used to divide objects into groups based on ...
Polina A. Sakharova, Vyacheslav A. Balandin   +1 more
doaj   +1 more source

Sparse Discriminant Analysis [PDF]

, 2008
tionanddimensionreductionareofgreatimportanceiscommonin Classi cationinhigh-dimensionalfeaturespaceswhereinterpreta-biologicalandmedicalapplications.
Clemmensen, Line Katrine Harder, Ersbøll, Bjarne Kjær, Hastie, Trevor   +2 more
core   +1 more source

Integrating Radiomics and Computational Pathology to Predict Early Recurrence of Pancreatic Ductal Adenocarcinoma and Uncover Its Biological Basis in Tumor Microenvironment

Advanced Science, EarlyView.
Accurate prediction of early recurrence in pancreatic ductal adenocarcinoma is vital for optimizing treatment. A novel, integrated radiomics‐pathology machine learning model successfully forecasts recurrence risks by analyzing preoperative CT images and computational pathology.
Sihang Cheng, Fuze Cong, Shenbo Zhang, Rui Lv, Wenjia Zhang, Xinyi Ke, Juncheng Wu, Zhonghe Zhao, Kui Zhao, Di Dong, Ruofan Zhang, Zhengyu Jin, Max Seidensticker, Zhiwei Wang, Huanwen Wu, Xianlin Han, Nan Hong, Huadan Xue   +17 more
wiley   +1 more source

Dimension Reduction in Nonparametric Discriminant Analysis [PDF]

A dimension reduction method in kernel discriminant analysis is presented, based on the concept of dimension reduction subspace. Examples of application are discussed.
Adolfo Hernández, Santiago Velilla
core  

Shadow‐Calibrated Stereo Vision for Colorimetric Sweat Analysis

Advanced Science, EarlyView.
By establishing a mathematical model that reconstructs 3D structures through geometric features of object shadows under controlled illumination, and combining it with Convolutional Neural Network‐based 2D image analysis for volumetric calibration, this work enables highly accurate 3D morphological reconstruction.
Ting Xiao, Yuwen Yan, Miaorong Lin, Jiahui Chen, Jianxin Meng, Xiang Cui, Peng Zhang, Fengyu Li   +7 more
wiley   +1 more source

Discriminant Analysis with Spatial Weights for Urban Land Cover Classification [PDF]

Classifying urban area images is challenging because of the heterogeneous nature of the urban landscape resulting in mixed pixels and classes with highly variable spectral ranges. Approaches using ancillary data, such as knowledge based or expert systems,
Elizabeth A. Wentz, Sharolyn Anderson, Shoursaseni Sen Roy, Soe W. Myint, William L. Stefanov, Yang Song   +5 more
core  

Cotton Recruits Soil‐Derived Delftia tsuruhatensis to Suppress Aphid Detoxification Via Salicylic Acid‐Mediated Defense

Advanced Science, EarlyView.
This study systematically reveals a complex interactive network involving plants, microbes, and insects, elucidating the ecological and molecular mechanisms by which cotton enhances its resistance to aphids through the active recruitment of the beneficial soil bacterium Delftia tsuruhatensis.
Hui Xue, Fengchao Diao, Qiqing Yu, Xiangzhen Zhu, Tingfang Zhong, Li Wang, Kaixin Zhang, Dongyang Li, Jichao Ji, Junyu Luo, Jinjie Cui, Xueke Gao   +11 more
wiley   +1 more source

netQDA: Local Network-Guided High-Dimensional Quadratic Discriminant Analysis

Mathematics
Quadratic Discriminant Analysis (QDA) is a well-known and flexible classification method that considers differences between groups based on both mean and covariance structures. However, the connection structures of high-dimensional predictors are usually
Xueping Zhou, Wei Chen, Yanming Li
doaj   +1 more source

Use of discriminant analysis to identify propensity for purchasing properties

GEPROS: Gestão da Produção, Operações e Sistemas, 2015
Properties usually represent a milestone for people and families due to the high added-value when compared with family income. The objective of this study is the proposition of a discrimination model, by a discriminant analysis of people with ...
Ricardo Floriani, Silvana Silva Vieira Tambosi, Nelson Hein   +2 more
doaj   +1 more source