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Volumn 28, Issue 8, 2009, Pages

Kernel fuzzy C-means algorithm based on distribution density and its application in fault diagnosis

Author keywords

Distribution density; Fault diagnosis; Kernel fuzzy c means algorithm; Maximum variance between clusters

Indexed keywords

CLUSTER METHOD; DISTRIBUTION DENSITY; FAULT DIAGNOSIS; FUZZY C-MEANS ALGORITHMS; INITIAL VALUES; KERNEL FUZZY C-MEANS ALGORITHM; MAXIMUM VARIANCE; MAXIMUM VARIANCE BETWEEN CLUSTERS; REAL DATA SETS; SAMPLE DISTRIBUTIONS; SEGMENTATION RESULTS; TRAINING SETS; WEIGHTED VALUES;

EID: 69849112911     PISSN: 10003835     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (7)

References (14)
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    • These data comes from case western reserve university bearing data center website
    • These data comes from Case Western Reserve University Bearing Data Center Website[OL]. http://www.eecs.cwru.edu/laboratory/bearings/.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.