AIMC Topic: Cluster Analysis

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Semi-supervised non-negative matrix factorization with structure preserving for image clustering.

Neural networks : the official journal of the International Neural Network Society Jul 1, 2025
Semi-supervised learning methods have wide applications thanks to the reasonable utilization for a part of label information of data. In recent years, non-negative matrix factorization (NMF) has received considerable attention because of its interpre...
Supervised Machine Learning Pattern Recognition, Automated Algorithms Image Processing, Computer-Assisted Cluster Analysis Humans Neural Networks, Computer
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StoCFL: A stochastically clustered federated learning framework for Non-IID data with dynamic client participation.

Neural networks : the official journal of the International Neural Network Society Jul 1, 2025
Federated learning is a distributed learning framework that takes full advantage of private data samples kept on edge devices. In real-world federated learning systems, these data samples are often decentralized and Non-Independently Identically Dist...
Machine Learning Humans Algorithms Neural Networks, Computer Stochastic Processes Cluster Analysis Federated Learning
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Machine learning-based bioactivity prediction of porphyrin derivatives: molecular descriptors, clustering, and model evaluation.

Photochemical & photobiological sciences : Official journal of the European Photochemistry Association and the European Society for Photobiology Jun 1, 2025
Understanding the relationship between molecular structure and bioactivity is crucial for optimizing porphyrin-based therapeutics. By integrating cheminformatics techniques with machine learning models, our work enables the efficient classification o...
Humans Cluster Analysis Molecular Structure Porphyrins Machine Learning Antineoplastic Agents Cell Proliferation
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A machine learning multimodal profiling of Per- and Polyfluoroalkyls (PFAS) distribution across animal species organs via clustering and dimensionality reduction techniques.

Food research international (Ottawa, Ont.) Jun 1, 2025
Per- and polyfluoroalkyl substances (PFAS) contamination in aquatic and terrestrial organisms poses significant environmental and health risks. This study quantified 15 PFAS compounds across various tissues (liver, kidney, gill, muscle, skin, lung, b...
Livestock Environmental Monitoring Food Contamination Water Pollutants, Chemical Cluster Analysis Machine Learning Animals Fishes Birds Liver Tissue Distribution Fluorocarbons Dimensionality Reduction
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Whole slide image-level classification of malignant effusion cytology using clustering-constrained attention multiple instance learning.

Lung cancer (Amsterdam, Netherlands) Jun 1, 2025
BACKGROUND: Cytological diagnosis of pleural effusion plays an important role in the early detection and diagnosis of lung cancers. Recently, attempts have been made to overcome low diagnostic accuracy and interobserver variability using artificial i...
Cytodiagnosis Pleural Effusion, Malignant Multiple-Instance Learning Algorithms Lung Neoplasms Cluster Analysis Humans Image Processing, Computer-Assisted
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Pathway Enrichment-Based Unsupervised Learning Identifies Novel Subtypes of Cancer-Associated Fibroblasts in Pancreatic Ductal Adenocarcinoma.

Interdisciplinary sciences, computational life sciences Jun 1, 2025
Existing single-cell clustering methods are based on gene expressions that are susceptible to dropout events in single-cell RNA sequencing (scRNA-seq) data. To overcome this limitation, we proposed a pathway-based clustering method for single cells (...
Single-Cell Analysis Gene Expression Regulation, Neoplastic Cluster Analysis Humans Gene Expression Profiling Transcriptome Pancreatic Neoplasms Cancer-Associated Fibroblasts Carcinoma, Pancreatic Ductal Unsupervised Machine Learning
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Self-supervised multi-modality learning for multi-label skin lesion classification.

Computer methods and programs in biomedicine Jun 1, 2025
BACKGROUND: The clinical diagnosis of skin lesions involves the analysis of dermoscopic and clinical modalities. Dermoscopic images provide detailed views of surface structures, while clinical images offer complementary macroscopic information. Clini...
Cluster Analysis Supervised Machine Learning Image Interpretation, Computer-Assisted Diagnosis, Computer-Assisted Deep Learning Humans Neural Networks, Computer Melanoma Algorithms Skin Neoplasms Dermoscopy
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Weakly supervised nuclei segmentation based on pseudo label correction and uncertainty denoising.

Artificial intelligence in medicine Jun 1, 2025
Nuclei segmentation plays a vital role in computer-aided histopathology image analysis. Numerous fully supervised learning approaches exhibit amazing performance relying on pathological image with precisely annotations. Whereas, it is difficult and t...
Supervised Machine Learning Image Interpretation, Computer-Assisted Cell Nucleus Image Processing, Computer-Assisted Cluster Analysis Uncertainty Humans Algorithms Female
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scDMSC: Deep Multi-View Subspace Clustering for Single-Cell Multi-Omics Data.

IEEE journal of biomedical and health informatics Jun 1, 2025
Single-cell multi-omics sequencing technology comprehensively considers various molecular features to reveal the complexity of cells information. The clustering analysis of multi-omics data provides new insight into cellular heterogeneity. However, m...
Cluster Analysis Unsupervised Machine Learning Computational Biology Multiomics Algorithms Gene Expression Profiling Transcriptome Deep Learning Single-Cell Analysis Genomics Humans
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Clustering Voice of the Customer Insights: Identifying Key Needs for AI-Based Early Warning System.

Studies in health technology and informatics May 15, 2025
In this study, we analyzed voice of customer (VOC) data for an AI-based early warning system from healthcare providers using the BERTopic framework for effective topic modeling. A preprocessing pipeline was implemented, incorporating techniques such ...
Humans Artificial Intelligence Cluster Analysis
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