• Journal of Internet Computing and Services
    ISSN 2287 - 1136 (Online) / ISSN 1598 - 0170 (Print)
    https://jics.or.kr/

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Search: "[ keyword: 클러스터링 ]" (23)
  1. 11. User Perspective Website Clustering for Site Portfolio Construction
    Mingyu Kim, Namgyu Kim, Vol. 16, No. 3, pp. 59-70, Jun. 2015
    10.7472/jksii.2015.16.3.59
    Keywords: Bigdata Analysis, Site Category Analysis, Site Clustering, Web Log Analysis
  2. 12. A Method for Dynamic Clustering-based Efficient Management in Large-Scale IoT Environment
    Dae Young Kim, Hyun Jung La, Vol. 15, No. 6, pp. 85-98, Dec. 2014
    10.7472/jksii.2014.15.6.85
    Keywords: IoT, Dynamic Clustering, Hierarchical Algorithm, Optimization, IoT Computing Environment
  3. 13. Ant Colony Hierarchical Cluster Analysis
    Mun-Su Kang, Young-Sik Choi, Vol. 15, No. 5, pp. 95-106, Oct. 2014
    10.7472/jksii.2014.15.5.95
    Keywords: Ant-based clustering, ant-based hierarchical clustering, clustering, swarm intelligence
  4. 14. Analysis of Assortativity in the Keyword-based Patent Network Evolution
    Jinho Choi, Junguk Kim, Vol. 14, No. 6, pp. 107-116, Dec. 2013
    10.7472/jksii.2013.14.6.107
    Keywords: Keyword-based patent network, Network Evolution, assortativity, clustering coefficient
  5. 15. User Oriented clustering of news articles using Tweets Heterogeneous Information Network
    Muhammad Shoaib, Wang-Cheol Song, Vol. 14, No. 6, pp. 85-94, Dec. 2013
    10.7472/jksii.2013.14.6.85
    Keywords: User Oriented clustering, information network, news articles clustering, tweets, micro-blogging
  6. 16. A Tag Clustering and Recommendation Method for Photo Categorization
    Ji-Hyeon Won, Jongwoo Lee, Heemin Park, Vol. 14, No. 2, pp. 1-14, Apr. 2013
    10.7472/jksii.2013.14.2.1
    Keywords: Tag Categorization, Tag Recommendation, clustering, Photo Contents, Photo Management
  7. 17. Comparison of Initial Seeds Methods for K-Means Clustering
    Shinwon Lee, Vol. 13, No. 6, pp. 1-8, Dec. 2012
    10.7472/jksii.2012.13.6.1
    Keywords: K-Means, clustering, Initial Seeds
  8. 18. Clustering and Pattern Analysis for Building Semantic Ontologies in RESTful Web Services
  9. 19. Refining Initial Seeds using Max Average Distance for K-Means Clustering
    Shin-Won Lee, Won-Hee Lee, Vol. 12, No. 2, pp. 103-112, Apr. 2011
    Keywords: clustering, K-Means, initial seed
  10. 20. The Selective Transmission of Sensor Data for a Water Quality Monitoring System