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Volumn , Issue , 2000, Pages 260-264

Using the fractal dimension to cluster datasets

Author keywords

Fractals

Indexed keywords

ALGORITHMS; DATA MINING; DATA STRUCTURES; FRACTALS; PROBLEM SOLVING;

EID: 0034592785     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/347090.347145     Document Type: Conference Paper
Times cited : (111)

References (12)
  • 2
    • 0013155970 scopus 로고    scopus 로고
    • Technical Report ISE-TR-99-08, George Mason University, Information and Software Engineering Department, Oct.
    • D. Barbará and P. Chen. Using the Fractal Dimension to Cluster Datasets. Technical Report ISE-TR-99-08, George Mason University, Information and Software Engineering Department, Oct. 1999.
    • (1999) Using the Fractal Dimension to Cluster Datasets
    • Barbará, D.1    Chen, P.2
  • 3
    • 48749149528 scopus 로고
    • Generalized dimensions of strange attractors
    • P. Grassberger. Generalized Dimensions of Strange Attractors. Physics Letters, 97A:227-230, 1983.
    • (1983) Physics Letters , vol.97 A , pp. 227-230
    • Grassberger, P.1
  • 4
    • 33646981873 scopus 로고
    • Characterization of strange attractors
    • P. Grassberger and I. Procaccia. Characterization of Strange Attractors. Physical Review Letters, 50(5):346-349, 1983.
    • (1983) Physical Review Letters , vol.50 , Issue.5 , pp. 346-349
    • Grassberger, P.1    Procaccia, I.2
  • 6
    • 0000442068 scopus 로고
    • A fast algorithm to determine fractal dimensions by box countig
    • L. Liebovitch and T. Toth. A Fast Algorithm to Determine Fractal Dimensions by Box Countig. Physics Letters, 141A(8), 1989.
    • (1989) Physics Letters , vol.141 A , Issue.8
    • Liebovitch, L.1    Toth, T.2
  • 9
    • 84898817460 scopus 로고    scopus 로고
    • Grid clustering: An efficient hierarchical method for very large data sets
    • IEEE Computer Society Press
    • E. Schikuta. Grid clustering: An efficient hierarchical method for very large data sets. In Proceedings of the 13th Conference on Pattern Recognition, IEEE Computer Society Press, pages 101-105, 1996.
    • (1996) Proceedings of the 13th Conference on Pattern Recognition , pp. 101-105
    • Schikuta, E.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.