Heavy-Tailed Linear Regression and <i>K</i>-Means by Mario Sayde, Jihad Fahs, Ibrahim Abou-Faycal

“…For such a scenario, classical linear regression techniques and the standard <i>K</i>-means algorithm fail. We formulate and validate heavy-tailed versions of these machine learning methods for both scalar and multidimensional settings. …”
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BEHAVIORAL SEGMENTATION OF CUSTOMERS: RFM MODEL AND K-MEANS APPLICATION by Thanh L.T.P., Liaw S.-Y., Hien N.T.

“…The main goal of this study is to propose a customer segmentation approach based on RFM (recency, frequency, and monetary) model and K-means algorithm, and then use the one-way ANOVA test to explore the difference in recency, frequency, and monetary attributes in customers of different ages. …”
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Mean Squared Error Representative Points of Pareto Distributions and Their Estimation by Xinyang Li, Xiaoling Peng

“…We demonstrate the uniqueness and existence of these representative points under certain parameter settings and provide a theoretical k-means algorithm for the computation of MSE-RPs for Pareto I and Pareto II distributions. …”
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Generalizing the arithmatic geometric mean — a hapless computer experiment by Jaak Peetre

“…However, no very conclusive results are obtained so the paper ends in a conjecture concerning the special rôle of the algorithms of Gauss and Borchardt. The paper discusses the asymptotic behavior of generalizations of the Gauss's arithmetic-geometric mean, associated with the names Meissel (1875) and Borchardt (1876). …”
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Microwave signals spectru.m analysis by means of microwave photonics by L. A. Aronov, V. N. Ushakov

“…Approaches for microwave spectral analysis by means of microwave photonics are reviewed. Schemes, algorithms of functioning and possible device’s parameters are discussed.…”
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Early Detection of Soil Salinization by Means of Spaceborne Hyperspectral Imagery by Giacomo Lazzeri, Robert Milewski, Saskia Foerster, Sandro Moretti, Sabine Chabrillat

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Assessment of Structured Music Creation Using Compositional Hierarchical Diffusion Model in Music Using Intelligent Fuzzy Information Based Algorithm by Ru Wen

Subjects: “…Circular T-spherical fuzzy Maclaurin symmetric means…”
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Optimizing the Spatial Layout of Agricultural Irrigation Sprinklers Using Remote Sensing Data: An Adaptive Incremental <inline-formula><tex-math notation="LaTeX">$K$</tex-math></inline-formula>-Means Clustering Algorithm by Jing Geng, Shangxian Zhao, Yifei Wang, Qi Li

“…To address this, we propose an adaptive incremental <inline-formula><tex-math notation="LaTeX">$K$</tex-math></inline-formula>-means (AIK-means) clustering algorithm for sprinkler layout optimization. …”
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Genetic clustering algorithm by M. A. Anfyorov

“…The calculations carried out on real data showed for this algorithm the high quality of clustering and the acceptable computing speed of the same order with the computing speed of SOM and “k-means” algorithms.…”
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Measuring customer loyalty using an extended RFM and clustering technique by Zohre Zalaghi, Yousef Abbasnejad Varzi

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Wireless sensor network-based health monitoring and smart home assistance for the older adults in sports and wellness towns by Dapeng Yang, Junqi Wang, Li Huang, Tongling Wang

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Wind–Photovoltaic–Hydropower Joint Output Model Study Based on Probability Distribution and Correlation Analysis by Ligui Wu, Benhong Wang, Peng Zhang, Yiming Ke, Fangqing Zhang, Jiang Guo

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Agricultural Machinery Movement Trajectory Recognition Method Based on Two-Stage Joint Clustering by Shuya Zhang, Hui Liu, Xiangchen Cao, Zhijun Meng

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Overcoming negative weighting in uncertainty-based methods: a multi-uncertainty clustering method for evidence fusion by Zhike Qiu, Yuhao Qin, Zichong Chen, Luping Zeng, Rui Cai

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Evaluating the Signal Contribution of the DTU21MSS on Coastal Mean Dynamic Topography and Geostrophic Current Modeling: A Case Study in the African–European Region by Hongkai Shi, Xiufeng He, Ole Baltazar Andersen

“…These improvements have refined the accuracy and reliability of mean sea surface (MSS) models, which in turn have enhanced the precision of mean dynamic topography (MDT) and geostrophic current models. …”
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Prediction of canopy mean traits in herbaceous plants by the UAV multispectral data: The quest for a better leaf-to-canopy upscaling method by Yuanqi Shan, Yunlong Yao, Lei Wang, Zhihui Wang, Huaihu Yi, Yi Fu, Weineng Li, Xuguang Zhang, Wenji Wang, Zhongwei Jing

“…This study proposed a novel approach for calculating canopy mean traits using the geometric mean method and compared its performance to that of the CWM methods in combination with three modeling algorithms Partial Least Squares Regression (PLSR), Random Forest regression (RF), and Support Vector Machine regression (SVM). …”
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Solving the Multi Objective Programming Problem Using Mean and Median Value by Najmaddin Sulaiman, Gulnar Sadiq

“…In this paper, the present algorithm [4] to solve fractional programming problem for multi objective functions, investigate the algorithm to solve linear programming problem for multiobjective functions [2], the computer application of algorithm was tested on a number of numerical examples and modify the approach by using mean and median for values of objective functions, to combine objective function from objective functions for linear programming problem for multi objective functions then it has been improved the above algorithm to solve the problem and computer application of improvement algorithm has been demonstrated by a flow chart and solving numerical examples on the computer then the good results have been often, as compared to the previous method [2].…”
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Perturbation based privacy preservation and classification using Jaya Algorithm and Dragonfly Inspired Algorithm by Dipanwita Sen, Bhupati Bhusan Mishra, Prasant Kumar Pattnaik

“…Thereafter, the accuracies obtained by a few traditional classification algorithms as well as classifiers based on some meta-heuristic algorithms, are observed . …”
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Iterative Mean Removal Superimposed Training for SISO and MIMO Channel Estimation by O. Longoria-Gandara, R. Parra-Michel, M. Bazdresch, A. G. Orozco-Lugo

“…The proposed algorithm draws an analogy with the data dependent ST (DDST) algorithm, that is, extracts the cycling mean of the data, but in this case at the receiver's end. …”
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A Novel Mathematical Model for Radio Mean Square Labeling Problem by Elsayed Badr, Shokry Nada, Mohammed M. Ali Al-Shamiri, Atef Abdel-Hay, Ashraf ELrokh

“…We also show that the computational results and their analysis prove that the proposed approximate algorithm overcomes the integer linear programming model (ILPM) according to the radio mean square number. …”
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