메뉴 건너뛰기




Volumn 32, Issue 2, 2011, Pages 342-351

Clustering data in an uncertain environment using an artificial immune system

Author keywords

Clustering performance measures; Immune networks; Non stationary data; Uncertain environments

Indexed keywords

ARTIFICIAL IMMUNE MODEL; ARTIFICIAL IMMUNE SYSTEM; CLUSTERING DATA; CLUSTERING QUALITY; CLUSTERING RESULTS; DATA MIGRATION; FEATURE VECTORS; IMMUNE NETWORK; NATURAL IMMUNE SYSTEMS; NETWORK-BASED; NON-STATIONARY ENVIRONMENT; NONSTATIONARY DATA; PERFORMANCE MEASURE; SELF-ORGANISING; STATIONARY ENVIRONMENTS; UNCERTAIN ENVIRONMENTS;

EID: 78649326835     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patrec.2010.09.013     Document Type: Article
Times cited : (16)

References (13)
  • 3
    • 0015956495 scopus 로고
    • Towards a network theory of the immune system
    • N.K. Jerne Towards a network theory of the immune system Annals of Immunology (Inst. Pasteur) 125C 1-2 1974 373 389 PMID: 4142565
    • (1974) Annals of Immunology (Inst. Pasteur) , vol.125 , Issue.12 , pp. 373-389
    • Jerne, N.K.1
  • 8
    • 57949115516 scopus 로고    scopus 로고
    • Tecno-streams: Tracking evolving clusters in noisy data streams with a scalable immune system learning model
    • Melbourne, Florida
    • Nasraoui, O; Cardona-Uribe, C; Rojas-Coronel, C; 2003a. Tecno-streams: tracking evolving clusters in noisy data streams with a scalable immune system learning model. In: IEEE International Conference on Data Mining, Melbourne, Florida.
    • (2003) IEEE International Conference on Data Mining
    • Nasraoui, O.1    Cardona-Uribe, C.2    Rojas-Coronel, C.3
  • 12


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.