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Volumn , Issue , 2010, Pages 44-49

Clustering medical data to predict the likelihood of diseases

Author keywords

[No Author keywords available]

Indexed keywords

BACKGROUND KNOWLEDGE; CLUSTERING PROCESS; CLUSTERING-BASED; DATA POINTS; DISCRETE DATA; K-MEANS; MEDICAL DATA; MEDICAL DOMAINS; PATIENT DATA;

EID: 78650951582     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDIM.2010.5664638     Document Type: Conference Paper
Times cited : (36)

References (15)
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    • Extensions to the k-Means Algorithm for Clustering Large Data Sets with Categorical Values
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    • (1998) Data Mining and Knowledge Discovery , vol.2 , Issue.2 , pp. 283-304
    • Huang, Z.1
  • 4
    • 33744768841 scopus 로고    scopus 로고
    • An Alternative Extension of the k-Means Algorithm for Clustering Categorical Data
    • O. M. San, V. N. Huynh, and Y. Nakamori, "An Alternative Extension of the k-Means Algorithm for Clustering Categorical Data," JAMCS, vol. 14, no. 2, pp. 241-247, 2004.
    • (2004) JAMCS , vol.14 , Issue.2 , pp. 241-247
    • San, O.M.1    Huynh, V.N.2    Nakamori, Y.3
  • 6
    • 33646084850 scopus 로고    scopus 로고
    • Locally linear metric adaptation with application to semi-supervised clustering and image retrieval
    • July
    • H. C. Hongch and D. Y. Yeung, "Locally linear metric adaptation with application to semi-supervised clustering and image retrieval," Pattern Recognition, vol. 39, no. 7, pp. 1253-1264, July 2006.
    • (2006) Pattern Recognition , vol.39 , Issue.7 , pp. 1253-1264
    • Hongch, H.C.1    Yeung, D.Y.2
  • 7
    • 33750536006 scopus 로고    scopus 로고
    • Two Phase Semisupervised Clustering Using Background Knowledge
    • September
    • K. Shin and A. Abraham, "Two Phase Semisupervised Clustering Using Background Knowledge," Lecture Notes in Computer Science, vol. 4224, pp. 707-712, September 2006.
    • (2006) Lecture Notes in Computer Science , vol.4224 , pp. 707-712
    • Shin, K.1    Abraham, A.2
  • 8
    • 78650938893 scopus 로고    scopus 로고
    • Kernel-based metric learning for semi-supervised clustering
    • December
    • M. S. Baghshaha and S. B. Shourakib, "Kernel-based metric learning for semi-supervised clustering," Neurocomputing, December 2009.
    • (2009) Neurocomputing
    • Baghshaha, M.S.1    Shourakib, S.B.2
  • 12
    • 67649134580 scopus 로고    scopus 로고
    • Extraction of Significant Patterns from Heart Disease Warehouses for Heart Attack Prediction
    • February
    • S. B. Patil and Y. S. Kumaraswamy, "Extraction of Significant Patterns from Heart Disease Warehouses for Heart Attack Prediction," International Journal of Computer Science and Network Security, vol. 9, no. 2, pp. 228-235, February 2009.
    • (2009) International Journal of Computer Science and Network Security , vol.9 , Issue.2 , pp. 228-235
    • Patil, S.B.1    Kumaraswamy, Y.S.2
  • 13
    • 67649109094 scopus 로고    scopus 로고
    • Intelligent and Effective Heart Attack Prediction System Using Data Mining and Artificial Neural Network
    • S. B. Patil and Y.S. Kumaraswamy, "Intelligent and Effective Heart Attack Prediction System Using Data Mining and Artificial Neural Network," European Journal of Scientific Research, vol. 31, no. 4, pp. 642-656, 2009.
    • (2009) European Journal of Scientific Research , vol.31 , Issue.4 , pp. 642-656
    • Patil, S.B.1    Kumaraswamy, Y.S.2
  • 15
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    • (n.d.). Retrieved 03 01, 2010, from Machine Learning Repository
    • Zoo Data Set. (n.d.). Retrieved 03 01, 2010, from Machine Learning Repository: http://archive.ics.uci.edu/ml/support/Zoo
    • Zoo Data Set


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.