Predicting Group-Based Trajectories of Oral Health-Related Quality of Life From Late Adolescence to Early Adulthood Using K-Means Clustering Algorithm. [PDF]
Ogwo C +5 more
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Research on collaborative filtering algorithm based on improved K-means algorithm for user attribute rating and co-rating. [PDF]
Zhang S, Chen S, Yu X, Mei S.
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Prediabetes risk classification algorithm via carotid bodies and K-means clustering technique. [PDF]
Pinheiro RF +3 more
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Identifying inflammatory phenotypes associated with lung involvement in systemic sclerosis: k-means clustering approach. [PDF]
Cano-García L +7 more
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Assessment of intratumor heterogeneity in non-small cell lung cancer by unsupervised K-means clustering of radiomics features based on multiphase computed tomography images. [PDF]
Wang R +7 more
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Profiling Patients with Chronic Ulcers Using K-Means Clustering and Analysis of the Impact on the Consumption of Medical Resources: Retrospective Study on Hospitalized Patients in Romania. [PDF]
Taroi Yassin Cataniciu M +5 more
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Unveiling Health Security Patterns in the European Union through a Hybrid Entropy-CoCoSo and K-Means Clustering Framework. [PDF]
Nasser AA +3 more
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An Effective and Efficient Algorithm for K-Means Clustering With New Formulation
IEEE Transactions on Knowledge and Data Engineering, 2023K-means is one of the most simple and popular clustering algorithms, which implemented as a standard clustering method in most of machine learning researches.
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