AIMC Topic: Cluster Analysis

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Machine learning reveals the dynamic importance of accessory sequences for outbreak clustering.

mBio Jan 28, 2025
UNLABELLED: Bacterial typing at whole-genome scales is now feasible owing to decreasing costs in high-throughput sequencing and the recent advances in computation. The unprecedented resolution of whole-genome typing is achieved by genotyping the vari...
Genome, Bacterial Interspersed Repetitive Sequences Cluster Analysis Whole Genome Sequencing Salmonella enterica Molecular Epidemiology Salmonella Infections Machine Learning Animals Disease Outbreaks Humans
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Discovering patient groups in sequential electronic healthcare data using unsupervised representation learning.

BMC medical informatics and decision making Jan 28, 2025
INTRODUCTION: Unsupervised feature learning methods inspired by natural language processing (NLP) models are capable of constructing patient-specific features from longitudinal Electronic Health Records (EHR).
Natural Language Processing Child Cluster Analysis Humans Unsupervised Machine Learning Algorithms Electronic Health Records
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Determination of quality differences and origin tracing of green tea from different latitudes based on TG-FTIR and machine learning.

Food research international (Ottawa, Ont.) Jan 27, 2025
Latitude differences can significantly affect the quality of tea, while in-depth research in this field is lacking. This study investigates green teas from different latitudes in China using thermogravimetric analysis coupled with infrared spectrosco...
Tea Spectroscopy, Fourier Transform Infrared Kinetics Principal Component Analysis Machine Learning Cluster Analysis Pyrolysis Camellia sinensis China Thermogravimetry
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Machine learning-based classification and prediction of typical Chinese green tea taste profiles.

Food research international (Ottawa, Ont.) Jan 27, 2025
The taste of Chinese green tea is highly diverse. In this study, a combination of unsupervised and supervised learning methods was utilized to develop a model for classifying and predicting typical Chinese green tea taste. Three clustering methods we...
Electronic Nose Adult Tea Humans Male China Machine Learning Taste Spectroscopy, Near-Infrared Cluster Analysis Catechin Metabolomics
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An unsupervised learning approach for clustering joint trajectories of Alzheimer's disease biomarkers: An application to ADNI Data.

Alzheimer's & dementia : the journal of the Alzheimer's Association Jan 27, 2025
INTRODUCTION: Current models of Alzheimer's disease (AD) progression assume a common pattern and pathology, oversimplifying the heterogeneity of clinical AD.
Humans Biomarkers Brain Disease Progression Cluster Analysis Unsupervised Machine Learning Female Aged Male Neuroimaging Amyloid beta-Peptides Alzheimer Disease
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Colorectal cancer detection with enhanced precision using a hybrid supervised and unsupervised learning approach.

Scientific reports Jan 25, 2025
The current work introduces the hybrid ensemble framework for the detection and segmentation of colorectal cancer. This framework will incorporate both supervised classification and unsupervised clustering methods to present more understandable and a...
Neural Networks, Computer Algorithms Unsupervised Machine Learning Colorectal Neoplasms Colonoscopy Humans Supervised Machine Learning Support Vector Machine Colonic Polyps Cluster Analysis
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UNAGI: Unified neighbor-aware graph neural network for multi-view clustering.

Neural networks : the official journal of the International Neural Network Society Jan 23, 2025
Multi-view graph refining-based clustering (MGRC) methods aim to facilitate the clustering of data via Graph Neural Networks (GNNs) by learning optimal graphs that reflect the underlying topology of the data. However, current MGRC approaches are limi...
Graph Neural Networks Neural Networks, Computer Algorithms Cluster Analysis Humans
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Large Language Model Approach for Zero-Shot Information Extraction and Clustering of Japanese Radiology Reports: Algorithm Development and Validation.

JMIR cancer Jan 23, 2025
BACKGROUND: The application of natural language processing in medicine has increased significantly, including tasks such as information extraction and classification. Natural language processing plays a crucial role in structuring free-form radiology...
Large Language Models Tomography, X-Ray Computed Humans Lung Neoplasms Algorithms Cluster Analysis East Asian People Natural Language Processing Japan
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EHM: Exploring dynamic alignment and hierarchical clustering in unsupervised domain adaptation via high-order moment-guided contrastive learning.

Neural networks : the official journal of the International Neural Network Society Jan 22, 2025
Unsupervised domain adaptation (UDA) aims to annotate unlabeled target domain samples using transferable knowledge learned from the labeled source domain. Optimal transport (OT) is a widely adopted probability metric in transfer learning for quantify...
Algorithms Cluster Analysis Unsupervised Machine Learning Humans Neural Networks, Computer
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Fast Co-clustering via Anchor-guided Label Spreading.

Neural networks : the official journal of the International Neural Network Society Jan 21, 2025
The attention towards clustering using anchor graph has grown due to its effectiveness and efficiency. As the most representative points in original data, anchors are also regarded as connecting the sample space to the label space. However, when ther...
Humans Neural Networks, Computer Algorithms Fuzzy Logic Cluster Analysis
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