New Clustering Map Reveals Three Distinct Extreme Rainfall Regimes Across South China
A multi-dimensional clustering of 40 years of hourly rain gauge data identifies three physically distinct pre-summer extreme rainfall regimes across ...
Tag: clustering
Study maps how students use a GAI-augmented learning analytics tool in programming education
A multi-method study identified stage-specific engagement profiles among students using a GAI-supported programming platform with a learner-facing learning analytics tool.
Multi-Level Preprocessing Framework Sharpens FT-IR Imaging of Microplastics
A new multi-level preprocessing and clustering framework for FT-IR spectral imaging achieved perfect classification of four common microplastic polymers while ...
Machine learning reveals hidden subtypes of intestinal injury in preterm infants
Necrotizing enterocolitis remains a major challenge in neonatology because of its substantial clinical burden, yet the diagnostic label itself may ...
Data-driven subtypes reveal hidden diversity in chronic inflammatory demyelinating polyneuropathy
An unbiased clustering analysis of 425 CIDP patients from ten German centers identified four clinically distinct subgroups, including two red-flag ...
Research report: Image clustering for breast cancer detection and diagnosis: a systematic review of algorithms, imaging modalities, feature representations and reported performance (2020–2025)
A systematic review of 11 studies found increasing algorithmic variety in breast image clustering but limited independent evaluation, prospective validation ...
Depression May Be One Continuous Spectrum, New Protein Study Suggests
Major depressive disorder has long resisted the tidy categories that clinicians and researchers would like to impose on it. Two ...
Desert bush strategy supercharges snow-inspired optimizer for clustering problems
A hybrid optimizer inspired by desert bushes and snow ablation outperforms seven metaheuristic algorithms across 30 UCI datasets, ranking first ...
Dual autoencoder framework sharpens single-cell clustering accuracy
A new deep clustering method, scDAEC, combines two autoencoders and multi-head attention to untangle noisy single-cell RNA sequencing data, outperforming ...
New Federated Learning Framework Fights Data Drift and Hackers at the Edge
Federated learning has become one of the most actively studied paradigms for collaborative machine learning because it allows model training ...
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Mothers who receive childcare support from maternal grandparents show more parental warmth, finds NTU Singapore study
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University of Seville Breaks 120-Year-Old Mystery, Revises a Key Einstein Concept
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Bee body mass, pathogens and local climate influence heat tolerance
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Researchers record first-ever images and data of a shark experiencing a boat strike
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Groundbreaking Clinical Trial Reveals Lubiprostone Enhances Kidney Function
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