Showing 1 - 20 results of 362 for search '"mean algorithm"', query time: 0.09s Refine Results
  1. 1

    Accelerating the k-Means++ Algorithm by Using Geometric Information by Guillem Rodriguez Corominas, Maria J. Blesa, Christian Blum

    Published 2025-01-01
    “…In this paper, we propose an acceleration of the exact k-means++ algorithm using geometric information, specifically the Triangle Inequality and additional norm filters, along with a two-step sampling procedure. …”
    Get full text
    Article
  2. 2

    Improved K-Means Algorithm for Nearby Target Localization by Zongwen Yuan, Xingdi Wang, Fuyang Chen, Xicheng Ma

    Published 2025-01-01
    “…To tackle the problem of unknown initial positions of target sources, we employ a grid density peak clustering(DPC) method for initial localization. In the K-means algorithm, we integrate a quartile range anomaly detection algorithm to address interference signal issues. …”
    Get full text
    Article
  3. 3

    Application of Improved K-Means Algorithm in Collaborative Recommendation System by Hui Jing

    Published 2022-01-01
    “…The research combines the improved artificial bee colony algorithm with K-means algorithm and applies them to the recommendation system to form a collaborative filtering recommendation algorithm. …”
    Get full text
    Article
  4. 4
  5. 5
  6. 6
  7. 7

    K-Means Algorithm to Identify the Elderly Psychological Stress Analysis Algorithm by Yan Gao

    Published 2022-01-01
    “…In order to study the psychological anxiety of the elderly, a psychological stress recognition algorithm based on ECG signal acquisition and heart rate variability was proposed based on the K-means algorithm. By collecting ECG signals of the elderly, HRV information can be accurately obtained, and RFC can be used to identify the psychological changes of the elderly under different degrees of stress. …”
    Get full text
    Article
  8. 8

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

    Published 2024-11-01
    “…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. …”
    Get full text
    Article
  9. 9

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

    Published 2024-01-01
    “…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. …”
    Get full text
    Article
  10. 10

    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

    Published 2025-06-01
    “…In this paper, the genetic K‐means algorithm (GKA) is proposed to solve the mathematical model and judge the corrosion of grounding conductors. …”
    Get full text
    Article
  11. 11

    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

    Published 2025-07-01
    “…This study explores the use of Naive Bayes and k-means algorithms to predict and analyzed stability of the electrical grid. …”
    Get full text
    Article
  12. 12

    Analysis of Internet Marketing Forecast Model Based on Parallel K-Means Algorithm by Xiaolei Chen, Sikun Ge

    Published 2021-01-01
    “…Secondly, the weights in the K-means algorithm are mostly only applicable to target detection tasks. …”
    Get full text
    Article
  13. 13
  14. 14

    Determination of the Caving Zone and Fracture Zone Heights by Using the LK-Means Algorithm by Ze Zhou, Juncai Cao, Long Lai, Jinlian Zhou, Mengtang Xu

    Published 2023-01-01
    “…Furthermore, the LK-means algorithm was used to determine the caving zone and fracture zone heights. …”
    Get full text
    Article
  15. 15
  16. 16
  17. 17
  18. 18
  19. 19

    Implementation of the K-Means Algorithm for Customer Churn Segmentation in Developing Bank Marketing Strategies by Reva Nur Rahmadiana, Dinda Lestarini

    Published 2025-07-01
    “…This study aims to segment customers based on characteristics that influence their churn risk using the K-Means algorithm. The data used in this research is secondary data consisting of 9,763 customer records from a bank customer churn dataset obtained via the Kaggle platform. …”
    Get full text
    Article
  20. 20

    Retracted: Efficiency Analysis of Machine Learning Intelligent Investment Based on K-Means Algorithm by Liang Li, Jia Wang, Xuetao Li

    Published 2020-01-01
    “…The results show that the machine learning based on K-means algorithm makes a concrete analysis of the investment efficiency of Capricorn Smart Investment, this method can also be used for the efficiency analysis of other smart investment products.…”
    Get full text
    Article