What Does Music Mean to Spotify? An Essay on Musical Significance in the Era of Digital Curation by Asher Tobin Chodos

“…In particular, it takes for granted that any musical recommendation – whether made by a person or an algorithm – must necessarily imply a tacit theory of musical meaning. …”
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Assessing Urban Vulnerability to Emergencies: A Spatiotemporal Approach Using K-Means Clustering by Ibrahim Mutambik

“…Experiments conducted in London, the UK, demonstrated the effectiveness of the Spatiotemporal K-means Clustering algorithm in identifying areas with heightened time-sensitive susceptibility. …”
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Optimal Model-Free Mean-Square Consensus for Multi-Agents with Markov Switching Topology by Ruoxun Ma, Lipo Mo, Bokang Zhou

“…The concept of mean-square consensus is introduced, and the relationship between consensus error and tracking error to achieve mean-square consensus is studied. …”
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Clustering OKU Timur Script Images using VGG Feature extraction and K-Means by Liu Toriko, Susan Dian Purnamasari, Yesi Novaria Kunang, Ilman Zuhri Yadi, Andri Andri

“…Features are extracted using the VGG16 model, which are then clustered with the K-Means algorithm. Clustering performance is evaluated based on the percentage of correctly grouped characters. …”
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MINIMIZING MEAN FLOW TIME FOR THE TWO-MACHINE SCHEDULING PROBLEM WITH A SINGLE SERVER by F. Werner, S. A. Kravchenko, K. Hasani

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INDIVIDUAL FORECASTING OF QUALITY AND THE TECHNICAL CONDITION OF MEANS OF MEDICAL ELECTRONICS THE METHOD OF THRESHOLD LOGIC by N. S. Sobchuk, O. P. Vysotsky

“…Results of working out of the program for individual forecasting of quality and technical condition of means of medical electronics by a method of threshold logic and algorithm of work with the program are resulted by working out of a solving rule for forecasting. …”
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SCREENING ELECTROMAGNETIC FIELDS BY MEANS OF SCREENS FROM MATRIX COMPOSITES, CONTAINING BIISOTROPIC FRACTIONS by V. T. Erofeenko, V. F. Bondarenko

“…The procedure is based on the algorithm of effective material parameters calculation for averaged biisotropic medium equivalent to matrix composite of the screen. …”
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Privacy-preserved data hiding using compressive sensing and fuzzy C-means clustering by Ming Li, Lanlan Wang, Haiju Fan

“…The original image is preprocessed first to generate multiple highly correlated classes with fuzzy C-means clustering algorithm. Then, all classes are further divided into two parts according to proper threshold. …”
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Cost-efficient behavioral modeling of antennas by means of global sensitivity analysis and dimensionality reduction by Slawomir Koziel, Anna Pietrenko-Dabrowska

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Integrating Fuzzy C-Means and DBSCAN: A Hybrid Approach to Medical Data Mining by Vikas Kaduskar, Anurag Srivastava, Saif O. Husain, Manish Gupta, Vinod Patil

“…This work proposes a hybrid clustering strategy that combines Fuzzy C-Means (FCM) with Density-Based Spatial Clustering of Applications with Noise (DBSCAN) to tackle these challenges. …”
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Small-coupling dynamic cavity: A Bayesian mean-field framework for epidemic inference by Alfredo Braunstein, Giovanni Catania, Luca Dall'Asta, Matteo Mariani, Fabio Mazza, Mattia Tarabolo

“…A novel generalized mean-field approximation, called the small-coupling dynamic cavity (SCDC) method, for epidemic inference and risk assessment is presented. …”
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Research on Automatic Alignment for Corn Harvesting Based on Euclidean Clustering and K-Means Clustering by Bin Zhang, Hao Xu, Kunpeng Tian, Jicheng Huang, Fanting Kong, Senlin Mu, Teng Wu, Zhongqiu Mu, Xingsong Wang, Deqiang Zhou

“…To validate the impact of Euclidean clustering on subsequent clustering, two separate treatments of the obtained point cloud data were conducted during experimental validation: the first used the K-means clustering algorithm directly, while the second involved performing Euclidean clustering followed by K-means clustering. …”
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Adaptation of k-means to automated forecasting of poorly structured time series of economic dynamics by Dunskaia Lada, Popova Elena

“…Applied statistics and data mining tools were used for time series analysis as well as for adaptation of clustering methods as a means for automating the predictive model. We confirmed that use and integration of well-known clustering methods into the linear cellular automaton algorithm allows to identify patterns and improve the quality of the forecast. …”
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Clustering Tingkat Risiko Klasifikasi Lapangan Usaha (KLU) Menggunakan Metode K-Means by Jessica Rahmawati Nugroho, Yoyon K Suprapto, Eko Setijadi

“…Thus, in this study, the researcher tries to implement the clustering method with the K-Means algorithm to grouping the business classifications (Klasifikasi Lapangan Usaha/KLU) according to the risk of non-compliance level and the fiscal impact on revenue which is divided into high, medium, and low. …”
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The hermeneutic circle as a means of illustration of the understanding problem when teaching didactic communications by E. E. Neupokoeva, N. K. Chapaev

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Link stability - based optimal routing path for efficient data communication in MANET by Renisha Pulinchuvallil Salim, Rajesh Ramachandran

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Enhanced novelty approaches for resource allocation model for multi-cloud environment in vehicular Ad-Hoc networks by R. Augustian Isaac, P. Sundaravadivel, V. S. Nici Marx, G. Priyanga

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Robust vector-weighted and matrix-weighted multi-view hard c-means clustering by Zhe Liu, Sarah Aljohani, Sijia Zhu, Tapan Senapati, Gözde Ulutagay, Salma Haque, Nabil Mlaiki

“…In this paper, we first propose a robust vector-weighted multi-view hard c-means (VW-MVHCM) clustering, drawing inspiration from the single-view alternative hard c-means. …”
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Application of the artificial neural networks for alpha spectrometry by means of plastic detector CR-39 by Yu. Onishchuk, S. Gorbachov, S. Yurchenko

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Vibration Diagnostic Methods from Methodsof Obtaining Data to Processing It Using Modern Means by Anton O. Zhuravlev, Alexey O. Polyakov, Denis A. Andrikov

“…In order to achieve high production rates, the reliability of production equipment is necessary; more and more advanced means of its self-diagnosis are being developed. …”
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