Search Results - (( its application clustering algorithm ) OR ( _ applications usage algorithm ))*

Refine Results
  1. 1
  2. 2
  3. 3

    Cluster head selection algorithm using fuzzy logic in multi-tier Wireless Sensor Network for energy efficiency / Wan Isni Sofiah Wan Din by Wan Din, Wan Isni Sofiah

    Published 2016
    “…The performances of MAP are evaluated through comparing its energy usage for data transmission against Low Energy Adaptive Clustering Hierarchy (LEACH) and Stable Election Protocol (SEP). …”
    Get full text
    Get full text
    Thesis
  4. 4
  5. 5
  6. 6
  7. 7

    Anomaly detection of intrusion based on integration of rough sets and fuzzy c-means by Chimphlee, Witcha, Md. Sap, Mohd. Noor, Abdullah, Abdul Hanan, Chimphlee, Siriporn

    Published 2005
    “…The objective of this paper is to describe a rough sets and fuzzy c-means algorithms and discuss its usage to detect intrusion in a computer network. …”
    Get full text
    Get full text
    Get full text
    Article
  8. 8
  9. 9
  10. 10
  11. 11

    Modified ACS centroid memory for data clustering by Jabbar, Ayad Mohammed, Ku-Mahamud, Ku Ruhana, Sagban, Rafid

    Published 2019
    “…A comparison of the performance of several common clustering algorithms using real-world data sets shows that the accuracy of the proposed algorithm surpasses those of its counterparts.…”
    Get full text
    Get full text
    Get full text
    Article
  12. 12
  13. 13

    Relationship between tiktok usage and youth well-being involving personality characteristics by Tang, Lian

    Published 2022
    “…TikTok, as one of several social media applications, has attracted numerous users, particularly youths, due to its short and fast video features. …”
    Get full text
    Get full text
    Thesis
  14. 14
  15. 15
  16. 16
  17. 17
  18. 18
  19. 19
  20. 20

    Beta Distribution Weighted Fuzzy C-Ordered-Means Clustering by Hengda, Wang, Mohamad Mohsin, Mohamad Farhan, Mohd Pozi, Muhammad Syafiq

    Published 2024
    “…The fuzzy C-ordered-means clustering (FCOM) is a fuzzy clustering algorithm that enhances robustness and clustering accuracy through the ordered mechanism based on fuzzy C-means (FCM). …”
    Get full text
    Get full text
    Get full text
    Get full text
    Article