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Volumn 3, Issue , 2010, Pages 161-163

Research on initial clustering centers of fuzzy c-means algorithm and its application to intrusion detection

Author keywords

Fuzzy c means (FCM) algorithm; Initial clustering centers; Intrusion detection; KDDCup99

Indexed keywords

CLASSIFICATION ACCURACY; CLUSTERING ANALYSIS; CLUSTERING CENTERS; CLUSTERING NUMBER; FCM ALGORITHM; FUZZY C-MEANS ALGORITHMS; INITIAL CLUSTER CENTERS; KDDCUP99; NETWORK ATTACK; NEW STRATEGY; SAMPLE SETS; SIMULATION EXPERIMENTS; TRAINING DATA;

EID: 77957950475     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ESIAT.2010.5568387     Document Type: Conference Paper
Times cited : (3)

References (8)
  • 1
    • 0015644825 scopus 로고
    • A fuzzy relative of the ISODATA process and its use in detecting compact well- separated clusters
    • J
    • Dunn J C. A fuzzy relative of the ISODATA process and its use in detecting compact well- separated clusters [J].Journal of Cybernetics, 1974, 3 (3) : 32-57.
    • (1974) Journal of Cybernetics , vol.3 , Issue.3 , pp. 32-57
    • Dunn, J.C.1
  • 6
    • 40049107969 scopus 로고    scopus 로고
    • Simulation Research on Parameters of Fuzzy C-means Algorithm
    • J
    • LI Jie, XU Yong, CHU Chao-hsien. Simulation Research on Parameters of Fuzzy C-means Algorithm[J]. Journal of System Simulation,2008,20(2):509-513.
    • (2008) Journal of System Simulation , vol.20 , Issue.2 , pp. 509-513
    • Li, J.1    Xu, Y.2    Chu, C.-H.3
  • 7
    • 77957954589 scopus 로고    scopus 로고
    • KDD99. KDDCup99 data[DB/OL]. http://kdd.ics.uci.edu/databases/kddcup99/ kddcup99.html,1999.
    • (1999) KDDCup99 Data[DB/OL]


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.