Clustering Analysis of the Energy Mix in Romania Using K-Means Algorithm by Cristina (Antohi) Barbu, Stefan-Mihai Petrea, Corina Sbughea, Cristina Gabriela Zamfir

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Distributed K-Means algorithm based on a Spark optimization sample by Yongan Feng, Jiapeng Zou, Wanjun Liu, Fu Lv

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Biometric monitoring system based on K-means ＆MTLS-SVM algorithm by Jingming XIA, Lingling TANG, Ling TAN, Han ZHENG

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Game and Application Purchasing Patterns on Steam using K-Means Algorithm by Salman Fauzan Fahri Aulia, Yana Aditia Gerhana, Eva Nurlatifah

“…The study finds an average silhouette coefficient of 0.345 and a precision purity value of 0.734, indicating that the k-means algorithm performs optimally based on the precision purity metric. …”
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Biometric monitoring system based on K-means ＆MTLS-SVM algorithm by Jingming XIA, Lingling TANG, Ling TAN, Han ZHENG

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Distributed K-Means algorithm based on a Spark optimization sample. by Yongan Feng, Jiapeng Zou, Wanjun Liu, Fu Lv

“…To address the instability and performance issues of the classical K-Means algorithm when dealing with massive datasets, we propose SOSK-Means, an improved K-Means algorithm based on Spark optimization. …”
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Main Lobe Anti-Interference Algorithm Based on Robust Oblique Projection Preprocessing by Sui Zhenxing, Wang Zheng, Yuan Xiaolei

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Mathematical Model and Algorithm for Accurate Main Content Extraction From News Websites by Hamza Salem, Hadi Salloum, Manuel Mazzara

“…This paper tackles the challenge of accurately identifying and extracting the main content from web pages to enhance the efficiency of these systems. …”
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Research on collaborative filtering algorithm based on improved K-means algorithm for user attribute rating and co-rating by ShengShai Zhang, Shiping Chen, Xiaodong Yu, Shaowei Mei

“…Abstract In response to the challenges of information overload in large datasets, as well as issues related to data sparsity and cold starts in traditional recommendation algorithms, this paper proposes a collaborative filtering algorithm based on an enhanced K-means algorithm for user attribute rating and common rating. …”
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Artificial intelligence: development in Russia and main beneficiaries by J. A. Konopleva, O. N. Pakova, R. Yu. Grigoryan

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APPLICATION OF K-MEANS AND FUZZY C-MEANS ALGORITHMS TO DETERMINE FLOOD VULNERABILITY CLUSTERS (CASE STUDY: KUTAI KARTANEGARA REGENCY) by Desi Nurjanah, Indira Anggriani, Primadina Hasanah

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Prediction of Electrical Grid Stability Using Naïve Bayes and K-Means Algorithm by Baik Budi, Muhammad Ilhamdi Rusydi, Reivan Arya Witama, Queen Hesti Ramadhamy, Refki Budiman

“…This study explores the use of Naive Bayes and k-means algorithms to predict and analyzed stability of the electrical grid. …”
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Combined multiple random features least mean square algorithm for online applications by Minglin Shen, Wei Feng, Gangyi Huang, Letian Qi, Yu Liu, Shiyuan Wang

“…However, the linear growth network structure is a main challenge of MKLMS. To address this issue, a novel multiple random features least mean square (MRFLMS) algorithm is proposed by approximating multiple Gaussian kernels with the multiple random features method. …”
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Research on Grounding Grid Corrosion Diagnosis Based on Genetic K‐Means Algorithm by Longsheng Huang, Xianghui Xiao, Mingxian Huang, Zhenshan Zhang, Yunhao Song, Luchang Guan

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Meaning in the Algorithmic Museum: Towards a Dialectical Modelling Nexus of Virtual Curation by Huining Guan, Pengbo Chen

“…The rise of algorithm-driven virtual museums presents a philosophical challenge for how cultural meaning is constructed and critiqued in digital curation. …”
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Image dehazing algorithm based on deep transfer learning and local mean adaptation by Dongyang Shi, Sheng Huang

“…To address both issues simultaneously, we propose an image dehazing algorithm based on deep transfer learning and local mean adaptation. …”
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Analyzing Students' Interest in Mathematics Through the Implementation of the K-Means Clustering Algorithm by Dede Wintana, Hamdun Sulaiman, Ramdhan Saepul Rohman, Gunawan Gunawan, Muhammad Abdul Ghani

“…This study aims to identify the level of student interest in mathematics using the K-Means algorithm. This method is used to group students into several clusters based on their level of interest. …”
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Adaptive k-means clustering algorithm based on grid and domain centroid weight by Wei CAI, Guangyu SUN, Fei YANG, Bo YAO, Chuanxian LI

“…Furthermore, when the clustering accuracy exceeded 99％ compared to the k-means algorithm, the computational efficiency was significantly improved. …”
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Analysis of Internet Marketing Forecast Model Based on Parallel K-Means Algorithm by Xiaolei Chen, Sikun Ge

“…Secondly, the weights in the K-means algorithm are mostly only applicable to target detection tasks. …”
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Application of PSO-integrated K-means algorithm in resident digital portrait classification by Hongwei Yue, Hejuan Zhang, Yuqiao Dai

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