New Algorithm for Detecting Weak Changes in the Mean in a Class of CHARN Models with Application to Welding Electrical Signals by Youssef Salman, Anis Hoayek, Mireille Batton-Hubert

“…In this paper, we propose a new automatic algorithm for detecting weak changes in the mean of a class of piece-wise CHARN models. …”
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Generation and Classification of Novel Segmented Control Charts (SCC) Based on Hu’s Invariant Moments and the K-Means Algorithm by Roberto Baeza-Serrato

“…Finally, a grouping is made to classify the samples in clear and simple language as excellent, good, or regular using the k-means algorithm. The results visually display the total pattern behavior of the samples and their interpretation when they are classified intelligently. …”
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Comparison of K-Means and K-Medoids Algorithms for Clustering Poverty Data in South Sumatra Using DBI Evaluation by M. Dandi Akhda, Ken Ditha Tania

“…With these results, K-Means was chosen as the best algorithm for clustering poverty data in the region. …”
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Using the Hopfield– Fuzzy C Means Algorithm for Clustering of People based on Food Insecurity and Obesity in the Northwest of Iran by Helda Tutunchi, Alireza Ostadrahimi, Soltanali Mahboob, Reza Mahdavi, SIROUS J Tabrizi

“…Finally, it tests the validity of the suggested model with comparing by other models (Hopfield–K-Means, K-Means, and fuzzy C Means). @JASEM Keywords: Learning, Clustering, Algorithm, Hopfield J. …”
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Causal Diagnosability Optimization Design for UAVs Based on Maximum Mean Covariance Difference and the Gray Wolf Optimization Algorithm by Xuping Gu, Xianjun Shi

“…To enhance diagnosability and reliability in this context, this study proposes a causal diagnosability optimization strategy based on the Maximum Mean and Covariance Discrepancy (MMCD) metric and the Grey Wolf Optimization (GWO) algorithm. …”
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Smart building energy management with renewables and storage systems using a modified weighted mean of vectors algorithm by Mohamed Ebeed, Sabreen hassan, Salah Kamel, Loai Nasrat, Ali Wagdy Mohamed, Abdel-Raheem Youssef

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An Improved Multi-Threshold Clutter Filtering Algorithm for W-Band Cloud Radar Based on K-Means Clustering by Zhao Shi, Lingjiang Huang, Fengyuan Wu, Yong Lei, Huiying Wang, Zhiya Tang

“…This study investigates the application of an improved multi-threshold method based on the K-means algorithm for clutter filtering in W-band cloud and fog radar observations. …”
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Decision-making algorithm with complex hesitant fuzzy partitioned maclaurin symmetric mean aggregation operators and SWARA method by Jawad Ali, Muhammad I. Syam, Ahmad N. Al-Kenani

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Evaluation of K-Means Algorithm for Faulted Landforms Extraction and Offset Measurement With an Example From the Eastern Kunlun Fault by Shengchao Zhou, Zhou Lin

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Analyzing Consumer Shopping Interest via Social Media Ads with K-Means and C4.5 Algorithm by Jepri Banjarnahor, Jessy Putrionom Hutagalung, Ferdinand Jery Wilkinson Sitorus

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Presenting the AI models in predicting the settlement of earth dams using the results of spatiotemporal clustering and k-means algorithm by Behrang Beiranvand, Taher Rajaee, Mehdi Komasi

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Adoption of K-means clustering algorithm in smart city security analysis and mythical experience analysis of urban image. by Haotong Han

“…<h4>Objective</h4>An information security evaluation model based on the K-Means Clustering (KMC) +  Decision Tree (DT) algorithm is constructed, aiming to assess its value in evaluating smart city (SC) security. …”
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Enhancing Fuzzy C-Means Clustering with a Novel Standard Deviation Weighted Distance Measure by Ahmed Husham Mohammed, Marwan Abdul Hameed Ashour

“…The aim of this paper is to present a new approach to address the Fuzzy C Mean algorithm, which is considered one of the most important and famous algorithms that addressed the phenomenon of uncertainty in forming clusters according to the overlap ratios. …”
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Clustering and Detecting Network Intrusion Based on Fuzzy Algorithms by Manar Kashmola, Bayda Khaleel

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Two-Stage Fault Classification Algorithm for Real Fault Data in Transmission Lines by Se-Heon Lim, Taegeun Kim, Kyeong-Yeong Lee, Kyung-Min Song, Sung-Guk Yoon

Subjects: “…Two-stage algorithm…”
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A Train Fault Diagnosis System Based on C-Means Clustering by SHI Hua, BI Yue-kuan

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K-means Method Based on the Approximate Backbone and the Shuffled Frog Leaping Algorithm and Its Application in Fundus Medical Record Images by SUN Ying;ZHANG Yi;DING Weiping;JU Hengrong;REN Longjie

Subjects: “…k-means algorithm…”
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Parsimonious mixture of mean-mixture of normal distributions with missing data by Farzane Hashemi, Saeed Darijani

“…The EM-type algorithms are carried out to determine maximum likelihood of parameters estimations. …”
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Superpixel Segmentation Algorithm by Spatial Constrained Density Clustering by HAN Jian-hui, TANG Jun-chao

“…In view of its disadvantages，a new algorithm of superpixel segmentation combining k-means and DBSCAN clustering with spatial constraints is proposed. …”
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Specialized Mobile Applications as Means of Optimizing the Power Supply System of the Republic of Belarus by M. I. Fursanov, P. A. Sazonov

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