K-Means Clustering and Classification of Breast Cancer Images Using Histogram of Oriented Gradients Features and Convolutional Neural Network Models: Diagnostic Image Analysis Study. [PDF]
Salloum S.
europepmc +1 more source
Uncovering G Protein‐Coupled Receptors: Novel Targets and Biomarkers for Predicting Glioma Prognosis
ABSTRACT Background Low‐grade gliomas (LGG) exhibit significant heterogeneity and recurrence risk. G protein‐coupled receptors (GPCR) contribute to glioma malignant progression, but their prognostic value remains unclear. This work attempts to formulate a GPCR‐based outcome‐predicting model for LGG. Methods Based on TCGA LGG data, the enrichment scores
Jun Yang +4 more
wiley +1 more source
Uncovering hidden insights in the chair rise performance of older adults using Dynamic Time Warping and K-means clustering. [PDF]
Meyer O +4 more
europepmc +1 more source
Analyzing the capability description of testing institution in Chinese phrase using a joint approach of semi-supervised K-Means clustering and BERT. [PDF]
Xu G +5 more
europepmc +1 more source
Customer segmentation in the digital marketing using a Q-learning based differential evolution algorithm integrated with K-means clustering. [PDF]
Wang G.
europepmc +1 more source
Pattern recognition in SARS cases: insights from <i>t</i>-SNE and k-means clustering applied to COVID-19 symptomatology. [PDF]
Marques JG +3 more
europepmc +1 more source
Improved Cell Allocation Strategies Using K-Means Clustering in Congested 6TiSCH Environments. [PDF]
Koesnadi FXK, Chung SH.
europepmc +1 more source
Development of a CT radiomics prognostic model for post renal tumor resection overall survival based on transformer enhanced K-means clustering. [PDF]
Wang Y +7 more
europepmc +1 more source
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