K-Means Cluster for Seismicity Partitioning and Geological Structure Interpretation, with Application to the Yongshaba Mine (China) by Xueyi Shang, Xibing Li, A. Morales-Esteban, Longjun Dong, Kang Peng

“…In this paper, seismic event location (X,Y,Z) and Euclidean distance were selected as the K-Means cluster, the Gaussian mixture model (GMM), and the self-organizing maps (SOM) input features and cluster determination measurement, respectively, and 1516 seismic events (M>-1.5) obtained from the Yongshaba mine (China) were chosen for the cluster analysis. In addition, a Silhouette and Krzanowski-Lai- (KL-) combined S-KL index was proposed to obtain the possible optimum cluster number and to compare the cluster methods. …”
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A Clustering of Investors' Behavior according to Their Financial, Behavioral, and Demographic Characteristics (An Application of K-means Algorithm) by Marziyeh Nourahmadi, Hojjatollah Sadeqi

“…We also show how to allocate assets effectively using investor characteristics and clustering techniques.Findings: Use silhouette coefficient to evaluate two clustering methods to select the best method for data clustering. …”
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Eye tracking based clustering using the Korean version of the reading the mind in the eyes test by Se Jun Koo, Eun Jung Cha, Jee Eun Min, Eunchong Seo, Eun Lee, Suk Kyoon An

“…The k-means algorithm was adopted, and the optimised number of clusters was determined using the elbow, silhouette and NbClust methods. Furthermore, multivariate analysis was employed to determine whether there were differences among the clusters in the neurocognitive and other ToM tests. …”
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Evaluating regional sustainable energy potential through hierarchical clustering and machine learning by Selen Avcı Azkeskin, Zerrin Aladağ

“…The classification results are compared with traditional clustering evaluation indices, such as the Silhouette and Calinski-Harabasz indices, demonstrating the feasibility of using classification models to assess clustering accuracy. …”
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Deep Temporal Clustering of Pathological Gait Patterns in Post-Stroke Patients Using Joint Angle Trajectories: A Cross-Sectional Study by Gyeongmin Kim, Hyungtai Kim, Yun-Hee Kim, Seung-Jong Kim, Mun-Taek Choi

“…Through this method, six optimal clusters were selected with a silhouette score of 0.2831, which is a relatively higher value compared to other clustering algorithms. …”
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ATIVIDADE DE PODA DE VEGETAÇÃO REALIZADA POR ELETRICISTA DE LINHA VIVA: UMA INTEGRAÇÃO DA ANÁLISE DO TRABALHO, ANÁLISE DE CLUSTER E BIOMECÂNICA by Samuel Bento da Silva, Sandra Francisca Bezerra Gemma, Flavia Traldi de Lima, Amanda Lopes Fernandes, José Luiz Pereira Brittes, Milton Shoiti Misuta

“…A análise de cluster apontou a formação de dois grupos (Índice de Silhouette de 0.7874), um associado à poda convencional (poda_Conv) e outro à poda com o protótipo de suporte (poda_ProtSup). …”
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The Relationship Between Body Composition, Physical Activity, Self-Esteem, and Body Image in Female and Male Adolescents by Ligia Rusu, Denisa Piele, Eva Ilie, Gheorghe Ionescu, Mihnea Ion Marin, Mihai Robert Rusu, Mirela Lucia Calina

“…In terms of the perceived ideal body size assessed with the Silhouette scale, most of the females were placed at level 3, and the males were placed at level 4. …”
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Pericardial Effusion as a First Symptom of Thymoma: A Case Report by Suprit Malali, Sourya Acharya, Samarth Shukla, Sunil Kumar, Priti Mishra

“…Therefore, it is crucial to consider the possibility of a concealed cardiac silhouette mimicking pericardial effusion in asymptomatic patients, ensuring a comprehensive evaluation. …”
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Clinical symptoms and functional impairment in attention deficit hyperactivity disorder (ADHD) co-morbid tic disorder (TD) patients: a cluster-based investigation by Zhongliang Jiang, Hui Xu, Anyi Zhang, Liping Yu, Xianbin Wang, Wenyan Zhang, Yonghua Cui, Ying Li

“…Fisher discriminant analysis and silhouette score were used for validation. Additionally, we assessed premonitory urge, strengths, and difficulties among groups. …”
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Colorectal cancer detection with enhanced precision using a hybrid supervised and unsupervised learning approach by Akella S. Narasimha Raju, K. Venkatesh, Ranjith Kumar Gatla, Eswara Prasad Konakalla, Marwa M. Eid, Nataliia Titova, Sherif S. M. Ghoneim, Ramy N. R. Ghaly

“…The framework proposed here uses K-means clustering in combination with the visualisation of bounding boxes, thereby improving segmentation and yielding a silhouette score of 0.73 with the best cluster configuration. …”
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Academician V. H. Serheiev – Control System Designer, Founder of the Scientific and Design School, Honored Citizen of Kharkiv (on His 110th Birthday) by Elena Tverytnykova, Olena Voitiuk

“…Despite his significant scientific achievements in the field of rocket and space engineering, the silhouette of V. H. Serheiev is hardly reflected in the modern history of science. …”
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Cluster analysis of cutting technique—a valuable approach for assessing anterior cruciate ligament injury risk? by Lasse Mausehund, Anri Patron, Sami Äyrämö, Sami Äyrämö, Tron Krosshaug

“…To assess the impact of the identified cutting technique clusters on ACL injury risk, we compared the proportion of injured players between these clusters using the Fisher-Freeman-Halton Exact test and adjusted rand indices (ARI).ResultsWe identified two distinguishable cutting technique clusters in the subset involving both sports and five kinematics variables (average silhouette score, ASS = 0.35). However, these clusters were formed based on sport- or task-related differences (Fisher's p < 0.001, ARI = 0.83) rather than injury-related differences (Fisher's p = 0.417, ARI = 0.00). …”
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Analysis of population structure and genetic diversity in a Southern African soybean collection based on single nucleotide polymorphism markers by A. Tsindi, J. S. Y. Eleblu, E. Gasura, H. Mushoriwa, P. Tongoona, E. Y. Danquah, L. Mwadzingeni, M. Zikhali, E. Ziramba, G. Mabuyaye, J. Derera

“…Inference based on three tools, such as the Evanno method, silhouette plots and UPMGA phylogenetic tree showed the existence of three sub-populations. …”
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On the concept of Urban Mutations: Urban research bibliography with an objective approach by Z. Bendebbache, A. Khiari, I. Maanser

“…Furthermore, the co-citation analysis ranked the cluster labeled “Urban Change” at the top with 501 citations and 0.917 for silhouette. Meanwhile, the most frequently co-cited journal is “Urban Studies”, boasting 602 co-citations. …”
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Unsupervised machine learning clustering approach for hospitalized COVID-19 pneumonia patients by Nuttinan Nalinthasnai, Ratchainant Thammasudjarit, Tanapat Tassaneyasin, Dararat Eksombatchai, Somnuek Sungkanuparph, Viboon Boonsarngsuk, Yuda Sutherasan, Detajin Junhasavasdikul, Pongdhep Theerawit, Tananchai Petnak

“…The optimal number of clusters was determined using the elbow method and Silhouette scores. Cox proportional hazard models were used to compare the risk of intubation and 90-day mortality across the identified clusters. …”
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Asymptomatic Post-Traumatic Rupture of the Right Diaphragm Dome by E. A. Losik, M. V. Fadeeva, V. V. Shchegelsky, R. T. Rzaev, A. V. Stepanov, K. B. Puzakov, M. R. Skhirtladze

“…Chest radiograph revealed a high standing of the right dome of the diaphragm at the level of 3rd rib with a decrease in the volume of the right lung, and an increase in cardiac silhouette (cardiothoracic index 0.64). Computed tomography revealed a high standing of the right dome of the diaphragm as well as the compression of the middle and lower lobe of the right lung with the presence of compression atelectasis. …”
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Obtaining patient phenotypes in SARS-CoV-2 pneumonia, and their association with clinical severity and mortality by Fernando García-García, Dae-Jin Lee, Mónica Nieves-Ermecheo, Olaia Bronte, Pedro Pablo España, José María Quintana, Rosario Menéndez, Antoni Torres, Luis Alberto Ruiz Iturriaga, Isabel Urrutia, COVID-19 & Air Pollution Working Group

“…The optimal cluster model parameters –including k, the number of phenotypes– were chosen automatically, by maximizing the average Silhouette score across the training set. Results We enrolled 1548 patients, each of them characterized by 92 clinical attributes (d=109 features after variable encoding). …”
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Analyzing the efficacy of a novel method for detecting achromatopsia by N.V. Sukhanova, S.I. Rychkova, V.G. Likhvantseva, R.I. Sandimirov, V.V. Kadyshev, R.A. Zinchenko

“…Each test comprises four gray silhouette images (with a lightness of 80% for test #1 and 50% for test #2) and four blue images (R0/G255/B255). …”
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Racial Stereotypes and the Art of Kara Walker by Monika Seidl

“…L’artiste afro-américaine Kara Walker (1969-) travaille principalement sur les silhouettes découpées, forme d’art des XVIIIe et XIXe siècles qui était alors utilisée pour les portraits, les caricatures et la décoration. …”
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Hand Depth Image Denoising and Superresolution via Noise-Aware Dictionaries by Huayang Li, Dehui Kong, Shaofan Wang, Baocai Yin

“…The bilateral filtering phase recovers singular points and removes artifacts on silhouettes by averaging depth data using neighborhood pixels on which both depth difference and RGB similarity restrictions are imposed. …”
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