Time Series measurements of White Blood Cells (WBC) and plasma Cancer Antigen 15-3 (CA 15-3) in a patient with metastatic breast cancer, serving as a reference for assessing the cl... by Alexandros CLOUVAS

“…In a recent study, the significance of the K-means clustering algorithm was examined for the first time in evaluating time-series measurements of plasma Cancer Antigen 15-3 (CA 15-3) in a male patient with metastatic breast cancer. …”
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Prediction of the corrosion rates of subsea pipelines via KPCA by Shiqi Xu, Changhe Huang, Hongda Zhao

“…Based on the data characteristics, four algorithms (BP, LSSVM, SVM, and RF) were compared. Ultimately, the LSSVM algorithm was selected as the final prediction model. …”
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Some Complex Intuitionistic Uncertain Linguistic Heronian Mean Operators and Their Application in Multiattribute Group Decision Making by Harish Garg, Zeeshan Ali, Jeonghwan Gwak, Tahir Mahmood, Sultan Aljahdali

“…In this paper, a new decision-making algorithm has been presented in the context of a complex intuitionistic uncertain linguistic set (CIULS) environment. …”
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ASYNCHRONICAL MEANS OF FORMING CROSS CULTURAL COMPETENCE OF HIGH SCHOOL STUDENTS (IN THE CASE OF ENGLISH LANGUAGE TEACHING) by Valeriy G. Apalkov

“…The article covers the key problems of forming cross cultural competence by means of asynchronic Internet-communication techniques. …”
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Extension Distance-Driven K-Means: A Novel Clustering Framework for Fan-Shaped Data Distributions by Xingsen Li, Hanqi Yue, Yaocong Qin, Haolan Zhang

“…The K-means algorithm utilizes the Euclidean distance metric to quantify the similarity between data points and clusters, with the fundamental objective of assessing the relationship between points. …”
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Exploring Image Decolorization: Methods, Implementations, and Performance Assessment by Ivana Žeger, Ivan Šetka, Domagoj Marić, Sonja Grgic

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Optimisation of Criminal Data Clustering Model using Information Gain by Prih Diantono Abda’u, Ratih Hafsarah Maharrani, Muhammad Nur Faiz, Oman Somantri

“…The results indicate that the K-Means algorithm outperforms the other two methods, achieving the best clustering quality with an optimal number of clusters (k = 6) and the lowest DBI value.…”
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Transmission Line Anomaly Detection and Real-Time Monitoring System Combining Edge Computing and EfficientDet by Menghao Lin, Yang Ding, Tianle Wang, Yang Liu, Zewei Li

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CLUSTERING ANALYSIS FOR GROUPING SUB-DISTRICTS IN BOJONEGORO DISTRICT WITH THE K-MEANS METHOD WITH A VARIETY OF APPROACHES by Denny Nurdiansyah, Mochamad Nizar Palefi Ma'ady, Yuana Sukmawaty, Muchammad Chandra Cahyo Utomo, Tia Mutiani

“…In this case, data mining techniques can identify patterns and relationships in population data. The K-Means algorithm is a clustering technique that divides data into groups or clusters based on similar characteristics. …”
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K-means clustering of a soil sampling scheme with data on the morphography of the Ogosta valley northwestern Bulgaria by Assen TCHORBADJIEFF, Tsvetan KOTSEV, Velimira STOYANOVA, Emilia TCHERKEZOVA

“…The field sites are split into 4 clusters using K-means algorithm with the following variables: elevation, distance to the river, vertical distance to channel network, multiresolution index of valley bottom flatness and a modified topographic SAGA wetness index. …”
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K-means clustering of a soil sampling scheme with data on the morphography of the Ogosta valley northwestern Bulgaria by Assen TCHORBADJIEFF, Tsvetan KOTSEV, Velimira STOYANOVA, Emilia TCHERKEZOVA

“…The field sites are split into 4 clusters using K-means algorithm with the following variables: elevation, distance to the river, vertical distance to channel network, multiresolution index of valley bottom flatness and a modified topographic SAGA wetness index. …”
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A Decentralized Fuzzy C-Means-Based Energy-Efficient Routing Protocol for Wireless Sensor Networks by Osama Moh’d Alia

“…In this initial construction step, a fuzzy C-means algorithm is adopted to allocate sensor nodes into their most appropriate clusters. …”
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Three-Dimensional Aerodynamic Optimization of Single-Layer Reticulated Cylindrical Roofs Subjected to Mean Wind Loads by Bingbing San, Chen Xu, Ye Qiu

“…The aim of this paper is to determine the best performing rise-to-span ratio of cylindrical roofs based on the gradient algorithm. Two objective functions were considered to minimize the highest mean suction on the roof surface and the maximum response displacement of the single-layer reticulated cylindrical shell subjected to mean wind loads. …”
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PCA-counseled k-means and k-medoids with dimension reduction for improved in determining optimal aid clustering by Achmad Jauhari, Ika Oktavia Suzanti, Devie Rosa Anamisa, Fadhila Tangguh Admojo

“…This analysis shows thatPCA-k-means is an effective technique for creating accurate and unique clusters withina data set's structure.The clustering results using the PCA-k-means algorithm have produced the greatest accuracy in the silhouette score of 0.49 and the DBI score is 0.84. …”
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Combining K-Means Clustering and Random Forest to Evaluate the Gas Content of Coalbed Bed Methane Reservoirs by Jie Yu, Linqi Zhu, Ruibao Qin, Zhansong Zhang, Li Li, Tao Huang

“…However, due to the weak correlation between the logging response of coalbed methane reservoirs and the gas content parameters and strong nonlinear characteristics, it is difficult for conventional gas content calculation algorithms to obtain more reliable results. This paper proposes a CBM reservoir gas content assessment method combining K-means clustering and random forest. …”
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A comparison of various imputation algorithms for missing data. by Jürgen Kampf, Iryna Dykun, Tienush Rassaf, Amir Abbas Mahabadi

“…Among the remaining algorithms, in most situations we tested, predictive mean matching performed best.…”
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Assessment of air purifiers for improving the air quality index using circular intuitionistic fuzzy Heronian means by Fengyu Guo, Raiha Imran, Shi Yin, Kifayat Ullah, Maria Akram, Dragan Pamucar, Mustafa Elashiry

“…So, considering this, the Heronian mean (HM) operator and its special cases such as averaging and geometric operators have been used in this paper. …”
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Time Series Clustering Analysis for Increases Food Commodity Prices in Indonesia Based on K-Means Method by M. Fariz Fadillah Mardianto, N. Ramadhan Al Akhwal Siregar, Steven Soewignjo, F. Friska Rahmana Putri, Hadi Prayogi, Citra Imama, Dita Amelia, . Sediono, Deshinta Arrova Dewi

“…The clustering algorithm employs the K-Means method, necessitating a comprehensive description of the groups it forms. …”
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Assessing the Effect of Water on Submerged and Floating Plastic Detection Using Remote Sensing and K-Means Clustering by Lenka Fronkova, Ralph P. Brayne, Joseph W. Ribeiro, Martin Cliffen, Francesco Beccari, James H. W. Arnott

“…Spectral analysis was conducted to assess the attenuation of individual wavelengths of the submerged tarpaulin in UAV hyperspectral and Sentinel-2 multispectral data. A K-Means unsupervised clustering algorithm was used to classify the images into two clusters: plastic and water. …”
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Hybridization of DEBOHID with ENN algorithm for highly imbalanced datasets by Sedat Korkmaz

“…Machine learning algorithms assume that datasets are balanced, but most of the datasets in the real world are imbalanced. …”
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