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Volumn 1, Issue , 2010, Pages 135-142

A genetic algorithm for clustering temporal data: Application to the detection of stress from ECG signals

Author keywords

Electrocardiogram; Genetic algorithm; Stress detection; Temporal data; Unsupervised learning

Indexed keywords

ANALYSIS OF DATA; AUTOMATIC METHOD; CLUSTERING ENSEMBLE; CLUSTERING TECHNIQUES; COGNITIVE TASK; DATA SETS; ECG SIGNALS; ELECTROCARDIOGRAM; EMOTIONAL STATE; EVOLUTIONARY COMPUTATIONS; MEDICAL DIAGNOSIS; SPECIFIC TASKS; STRESS DETECTION; STRESS STATE; TEMPORAL DATA; TEMPORAL EVOLUTION;

EID: 77956284840     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (6)

References (8)
  • 2
  • 4
    • 16444383160 scopus 로고    scopus 로고
    • Survey of clustering algorithms
    • Xu, R. and Wunsch II, D. (2005). Survey of Clustering Algorithms. In IEEE Trans. on Neural Networks, Vol. 16, Issue 3, pp.645-678.
    • (2005) IEEE Trans. on Neural Networks , vol.16 , Issue.3 , pp. 645-678
    • Xu, R.1    Wunsch II, D.2
  • 7
    • 55649115745 scopus 로고    scopus 로고
    • Unveiling intrinsic similarity: Application to temporal analysis of ECG
    • Lourenço, A. and Fred, A. (2008). Unveiling Intrinsic Similarity: Application to Temporal Analysis of ECG. In Proc. of BIOSIGNALS 2008, pp. 104-109.
    • (2008) Proc. of BIOSIGNALS 2008 , pp. 104-109
    • Lourenço, A.1    Fred, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.