Results 141 to 150 of about 2,740,047 (370)

A hybrid unsupervised machine learning model with spectral clustering and semi-supervised support vector machine for credit risk assessment.

PLoS ONE
In credit risk assessment, unsupervised classification techniques can be introduced to reduce human resource expenses and expedite decision-making. Despite the efficacy of unsupervised learning methods in handling unlabeled datasets, their performance ...
Tao Yu, Wei Huang, Xin Tang, Duosi Zheng
doaj   +1 more source

Unsupervised Classification for Circulating Tumor Cells

IEEE Access
Circulating tumor cell (CTC) detection is crucial for reducing cancer mortality and disease burden. Traditional methods rely on the physical or biological properties of CTCs and involve complex enrichment and separation processes. These methods are often
Ling An, Haibo Hu, Mengke Song, Lin Cheng, Shuo Ba, Zhaocong Liu, Zhuohang Yu, Zhenyu Zhang, Yi Liu, Chichun Zhou   +9 more
doaj   +1 more source

AUTOREGRESSIVE MODEL BASED ON BAYESIAN APPROACH FOR TEXTURE REPRESENTATION [PDF]

ICTACT Journal on Image and Video Processing, 2012
In this study autoregressive model based on Bayesian approach is proposed for texture classification. Based on auto correlation coefficients, micro textures are identified and represented locally and then globally.
T. Karthikeyan, R. Krishnamoorthy
doaj  

Computational modeling allows unsupervised classification of epileptic brain states across species. [PDF]

Sci Rep, 2023
Dallmer-Zerbe I, Jajcay N, Chvojka J, Janca R, Jezdik P, Krsek P, Marusic P, Jiruska P, Hlinka J.   +8 more
europepmc   +1 more source

Hyperviscous Diabetic Bone Marrow Niche Impairs BMSCs Osteogenesis via TRPV2‐Mediated Cytoskeletal‐Nuclear Mechanotransduction

Advanced Science, EarlyView.
Diabetic bone marrow exhibits pathological ECM hyperviscosity that activates TRPV2‐mediated Ca2⁺ influx, leading to perinuclear F‐actin disassembly, nuclear deformation, and chromatin condensation. This cytoskeletal‐nuclear decoupling suppresses osteogenic differentiation of BMSCs.
Yao Wen, Xinhui Zheng, Jieliu Li, Minyu He, Dongqi Fan, Xingyu Zhu, Qiming Zhai, Liangjing Xin, Tao Chen   +8 more
wiley   +1 more source

An Unsupervised Classification Algorithm for Heterogeneous Cryo-EM Projection Images Based on Autoencoders. [PDF]

Int J Mol Sci, 2023
Wang X, Lu Y, Lin X, Li J, Zhang Z.
europepmc   +1 more source

Immune Predictors of Radiotherapy Outcomes in Cervical Cancer

Advanced Science, EarlyView.
This study reveals dynamic immune remodeling in cervical cancer following radiotherapy. Single‐cell analysis identifies the C3/C3AR1 axis as a central mediator of epithelial–myeloid crosstalk, whose inhibition reduces treatment efficacy in mice. Guided by these insights, the eight‐feature machine‐learning model: Cervical Cancer Radiotherapy Immune ...
Linghao Wang, Jie Zhu, Zequn Ding, Zhiyuan Xie, Xingchen Liu, Feihong Zhang, Xiaojun Liu, Yan Zhang, Haiyan Chen   +8 more
wiley   +1 more source

HaploCoV: unsupervised classification and rapid detection of novel emerging variants of SARS-CoV-2. [PDF]

Commun Biol, 2023
Chiara M, Horner DS, Ferrandi E, Gissi C, Pesole G.   +4 more
europepmc   +1 more source

unsupervised classification

Citation: 'unsupervised classification' in the IUPAC Compendium of Chemical Terminology, 5th ed.; International Union of Pure and Applied Chemistry; 2025. Online version 5.0.0, 2025. 10.1351/goldbook.10146 • License: The IUPAC Gold Book is licensed under Creative Commons Attribution-ShareAlike CC BY-SA 4.0 International for individual terms.
openaire   +1 more source

Airplane Optimal Robust Design Combined with an Entropy-Statistics Unsupervised Learning Classification Algorithm

, 2022
Bento S. de Mattos, José A. T. G. Fregnani, Ariosto Bretanha Jorge   +2 more
openalex   +1 more source