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Volumn 1, Issue , 2003, Pages 147-153

Using the Triangle Inequality to Accelerate k-Means

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTERS; TRIANGULAR INEQUALITY;

EID: 1942485278     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (734)

References (31)
  • 3
    • 0022136084 scopus 로고
    • An improvement of the minimum distortion encoding algorithm for vector quantization
    • Bei, C.-D., & Gray, R. M. (1985). An improvement of the minimum distortion encoding algorithm for vector quantization. IEEE Transactions on Communications, 33, 1132-1133.
    • (1985) IEEE Transactions on Communications , vol.33 , pp. 1132-1133
    • Bei, C.-D.1    Gray, R.M.2
  • 4
    • 0015531930 scopus 로고
    • Some approaches to best-match file searching
    • Burkhard, W. A., & Keller, R. M. (1973). Some approaches to best-match file searching. Communications of the ACM, 16, 230-236.
    • (1973) Communications of the ACM , vol.16 , pp. 230-236
    • Burkhard, W.A.1    Keller, R.M.2
  • 11
  • 13
    • 0024163741 scopus 로고
    • Reducing computational requirements of the minimum-distance classifier
    • Hodgson, M. E. (1988). Reducing computational requirements of the minimum-distance classifier. Remote Sensing of Environments, 25, 117-128.
    • (1988) Remote Sensing of Environments , vol.25 , pp. 117-128
    • Hodgson, M.E.1
  • 19
    • 0001654728 scopus 로고
    • On convergence of k-means and partitions with minimum average variance
    • Abstract only
    • MacQueen, J. B. (1965). On convergence of k-means and partitions with minimum average variance. Annals of Mathematical Statistics, 36, 1084. Abstract only.
    • (1965) Annals of Mathematical Statistics , vol.36 , pp. 1084
    • MacQueen, J.B.1
  • 20
    • 0034259565 scopus 로고    scopus 로고
    • Rotated partial distance search for faster vector quantization encoding
    • McNames, J. (2000). Rotated partial distance search for faster vector quantization encoding. IEEE Signal Processing Letters, 7, 244-246.
    • (2000) IEEE Signal Processing Letters , vol.7 , pp. 244-246
    • McNames, J.1
  • 21
    • 0036612792 scopus 로고    scopus 로고
    • A novel full-search vector quantization algorithm based on the law of cosines
    • Mielikainen, J. (2002). A novel full-search vector quantization algorithm based on the law of cosines. IEEE Signal Processing Letters, 9, 175-176.
    • (2002) IEEE Signal Processing Letters , vol.9 , pp. 175-176
    • Mielikainen, J.1
  • 23
    • 0011009875 scopus 로고
    • Analysis and optimization of the k-means algorithm for remote sensing applications
    • A. Sanfeliu (Ed.). World Scientific
    • Montolio, P., Gasull, A., Monte, E., Torres, L., & Marques, F. (1992). Analysis and optimization of the k-means algorithm for remote sensing applications. In A. Sanfeliu (Ed.), Pattern recognition and image analysis, 155-170. World Scientific.
    • (1992) Pattern Recognition and Image Analysis , pp. 155-170
    • Montolio, P.1    Gasull, A.2    Monte, E.3    Torres, L.4    Marques, F.5
  • 28
    • 0024775246 scopus 로고
    • A generalized optimization of the k - d tree for fast nearest-neighbour search
    • IEEE Computer Society Press
    • Ramasubramanian, V., & Paliwal, K. K. (1990). A generalized optimization of the k - d tree for fast nearest-neighbour search. Fourth IEEE Region 10 International Conference (TENCON'89) (pp. 565-568). IEEE Computer Society Press.
    • (1990) Fourth IEEE Region 10 International Conference (TENCON'89) , pp. 565-568
    • Ramasubramanian, V.1    Paliwal, K.K.2
  • 29
    • 0022858293 scopus 로고
    • An algorithm for finding nearest neighbours in (approximately) constant average time
    • Vidal, E. (1986). An algorithm for finding nearest neighbours in (approximately) constant average time. Pattern Recognition Letters, 4, 145-157.
    • (1986) Pattern Recognition Letters , vol.4 , pp. 145-157
    • Vidal, E.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.