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Cluster analysis

Sentiment analysis of classical Chinese literature: An unsupervised deep learning model with BERT and graph attention networks

Xiaohan Yu, Jin Wang

Service use patterns in community mental health outreach: A sequence analysis of the first 12-month longitudinal data

Mai Iwanaga, Kaori Usui, [ ... ], Chiyo Fujii

ACG-SFE: Adaptive cluster-guided simple, fast, and efficient feature selection for high-dimensional microarray data in binary classification

Yi Wei Tye, XinYing Chew, Umi Kalsom Yusof, Samat Tulpar

DKCDC: A clustering algorithm focusing on genuine boundary search for regional division

Qin Zheng, Keju Zhang, [ ... ], Jiaxiang Lin

Pre-hatching social interactions mediated by acoustic signals. Dynamics of click emission and hatching synchronization in birds

Florencia Bazterrica, Juan Mateo Mayol, [ ... ], Melina Rapacioli

Hidden community interlayer spillover detection in financial multilayer networks: Generalization of hierarchical clustering to multilayer networks

Jamshid Ardalankia, Ali Habibnia, Marcel Ausloos, G. Reza Jafari

When the hammer drops: Identification of knapping techniques in blade production based on a multi-scale study of knapping traces

Olivier Touzé, Veerle Rots

Exploring preparatory reading in bidirectional sight and written translation through clustering analysis of eye-tracking data

Shirong Chen, Jia Feng, Michael Carl

Assessment of the stopping for right-turning large vehicles policy in Nanjing: Effectiveness and determinants

Yurun Zhu

Design principles for social-ecological research at the landscape scale applied to western Rwanda

Matthias Baumann, Dula Duguma, [ ... ], Joern Fischer

Patterns of multimorbidity in older adults with multiple myeloma: An analysis of SEER-Medicare

Atinuke G. Oyinbo, Mayra Tisminetzky, [ ... ], Mara M. Epstein

Predicting achievement of clinical goals using machine learning in myasthenia gravis

Hiroyuki Akamine, Akiyuki Uzawa, [ ... ], Kimiaki Utsugisawa

Seed quality drives grain yield in Ethiopian and Senegalese sorghum: Insights from machine learning

Ezekiel Ahn, Louis K. Prom, [ ... ], Clint Magill

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