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Volumn 26, Issue 2, 1993, Pages 365-373

Real-time adaptive clustering of flow cytometric data

Author keywords

Clustering; Flow cytometry; Neural network; Parallel distributed processing; Real time

Indexed keywords

ALGORITHMS; BLOOD; CYTOLOGY; DATA PROCESSING; DISTRIBUTED DATABASE SYSTEMS; LEARNING SYSTEMS; MEDICAL APPLICATIONS; NEURAL NETWORKS; PARALLEL PROCESSING SYSTEMS; PULSATILE FLOW; REAL TIME SYSTEMS; ROBUSTNESS (CONTROL SYSTEMS);

EID: 0027544701     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/0031-3203(93)90044-W     Document Type: Article
Times cited : (24)

References (25)
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  • 15
    • 0023271424 scopus 로고
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    • (1987) Pattern Recognition , vol.20 , pp. 229-235
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  • 17
    • 0021558764 scopus 로고
    • A stopping rule and clustering method of wide applicability
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  • 21
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    • Computing with neural circuits: a model
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  • 24


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.