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Volumn 38, Issue 11, 2005, Pages 1857-1874

Clustering of time series data - A survey

Author keywords

Clustering; Data mining; Distance measure; Time series data

Indexed keywords

DATA MINING; DATA REDUCTION; DISTANCE MEASUREMENT; FEATURE EXTRACTION; FREQUENCY DOMAIN ANALYSIS; INFORMATION ANALYSIS; MATHEMATICAL MODELS;

EID: 24044470614     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2005.01.025     Document Type: Article
Times cited : (2109)

References (65)
  • 5
    • 0035416012 scopus 로고    scopus 로고
    • Low-complexity fuzzy relational clustering algorithms for web mining
    • R. Krishnapuram, A. Joshi, O. Nasraoui, and L. Yi Low-complexity fuzzy relational clustering algorithms for web mining IEEE Trans. Fuzzy Systems 9 4 2001 595 607
    • (2001) IEEE Trans. Fuzzy Systems , vol.9 , Issue.4 , pp. 595-607
    • Krishnapuram, R.1    Joshi, A.2    Nasraoui, O.3    Yi, L.4
  • 6
    • 0032595163 scopus 로고    scopus 로고
    • A note on the Gustafson-Kessel and adaptive fuzzy clustering algorithms
    • R. Krishnapuram, and J. Kim A note on the Gustafson-Kessel and adaptive fuzzy clustering algorithms IEEE Trans. Fuzzy Systems 7 4 1999 453 461
    • (1999) IEEE Trans. Fuzzy Systems , vol.7 , Issue.4 , pp. 453-461
    • Krishnapuram, R.1    Kim, J.2
  • 11
    • 0032686723 scopus 로고    scopus 로고
    • Chameleon: Hierarchical clustering using dynamic modeling
    • G. Karypis, E.-H. Han, and V. Kumar Chameleon: hierarchical clustering using dynamic modeling Computer August 1999 68 75
    • (1999) Computer August , pp. 68-75
    • Karypis, G.1    Han, E.-H.2    Kumar, V.3
  • 17
    • 0002607026 scopus 로고    scopus 로고
    • Bayesian classification (AutoClass): Theory and results
    • U.M. Fayyard G. Piatetsky-Shapiro P. Smyth R. Uthurusamy AAAI/MIT Press Cambridge, MA
    • P. Cheeseman, and J. Stutz Bayesian classification (AutoClass): theory and results U.M. Fayyard G. Piatetsky-Shapiro P. Smyth R. Uthurusamy Advances in Knowledge Discovery and Data Mining 1996 AAAI/MIT Press Cambridge, MA
    • (1996) Advances in Knowledge Discovery and Data Mining
    • Cheeseman, P.1    Stutz, J.2
  • 18
    • 0021776661 scopus 로고
    • A massively parallel architecture for a self-organizing neural pattern recognition machine
    • G.A. Carpenter, and S. Grossberg A massively parallel architecture for a self-organizing neural pattern recognition machine Comput. Vision Graphics Image Process. 37 1987 54 115
    • (1987) Comput. Vision Graphics Image Process. , vol.37 , pp. 54-115
    • Carpenter, G.A.1    Grossberg, S.2
  • 19
    • 0025489075 scopus 로고
    • The self organizing maps
    • T. Kohonen The self organizing maps Proc. IEEE 78 9 1990 1464 1480
    • (1990) Proc. IEEE , vol.78 , Issue.9 , pp. 1464-1480
    • Kohonen, T.1
  • 20
    • 0015644825 scopus 로고
    • A fuzzy relative of the ISODATA process and its use in detecting compact well-separated clusters
    • J.C. Dunn A fuzzy relative of the ISODATA process and its use in detecting compact well-separated clusters J. Cybernet. 3 1974 32 57
    • (1974) J. Cybernet. , vol.3 , pp. 32-57
    • Dunn, J.C.1
  • 23
    • 85088338472 scopus 로고    scopus 로고
    • Clustering seasonality patterns in the presence of errors
    • Edmonton, Alberta, Canada
    • M. Kumar, N.R. Patel, J. Woo, Clustering seasonality patterns in the presence of errors, Proceedings of KDD '02, Edmonton, Alberta, Canada.
    • Proceedings of KDD '02
    • Kumar, M.1    Patel, N.R.2    Woo, J.3
  • 24
    • 0032343819 scopus 로고    scopus 로고
    • Discrimination and clustering for multivariate time series
    • Y. Kakizawa, R.H. Shumway, and N. Taniguchi Discrimination and clustering for multivariate time series J. Amer. Stat. Assoc. 93 441 1998 328 340
    • (1998) J. Amer. Stat. Assoc. , vol.93 , Issue.441 , pp. 328-340
    • Kakizawa, Y.1    Shumway, R.H.2    Taniguchi, N.3
  • 25
    • 0030095346 scopus 로고    scopus 로고
    • On the Kullback-Leibler information divergence of locally stationary processes
    • R. Dahlhaus On the Kullback-Leibler information divergence of locally stationary processes Stochastic Process. Appl. 62 1996 139 168
    • (1996) Stochastic Process. Appl. , vol.62 , pp. 139-168
    • Dahlhaus, R.1
  • 26
    • 0037905617 scopus 로고    scopus 로고
    • Time-frequency clustering and discriminant analysis
    • R.H. Shumway Time-frequency clustering and discriminant analysis Stat. Probab. Lett. 63 2003 307 314
    • (2003) Stat. Probab. Lett. , vol.63 , pp. 307-314
    • Shumway, R.H.1
  • 28
    • 0036937614 scopus 로고    scopus 로고
    • Performance evaluation of some clustering algorithms and validity indices
    • U. Maulik, and S. Bandyopadhyay Performance evaluation of some clustering algorithms and validity indices IEEE Trans. Pattern Anal. Mach. Intell. 24 12 2002 1650 1654
    • (2002) IEEE Trans. Pattern Anal. Mach. Intell. , vol.24 , Issue.12 , pp. 1650-1654
    • Maulik, U.1    Bandyopadhyay, S.2
  • 29
    • 0002182408 scopus 로고
    • Cross-sectional approach for clustering time varying data
    • K. Košmelj, and V. Batagelj Cross-sectional approach for clustering time varying data J. Classification 7 1990 99 109
    • (1990) J. Classification , vol.7 , pp. 99-109
    • Košmelj, K.1    Batagelj, V.2
  • 30
    • 33645480898 scopus 로고    scopus 로고
    • A simulation study on clustering time series with meta-heuristic methods
    • R. Baragona A simulation study on clustering time series with meta-heuristic methods Quad. Stat. 3 2001 1 26
    • (2001) Quad. Stat. , vol.3 , pp. 1-26
    • Baragona, R.1
  • 31
    • 0016355478 scopus 로고
    • A new look at the statistical model identification
    • H. Akaike A new look at the statistical model identification IEEE Trans. Automat. Control 19 1974 716 723
    • (1974) IEEE Trans. Automat. Control , vol.19 , pp. 716-723
    • Akaike, H.1
  • 32
    • 0000120766 scopus 로고
    • Estimating the dimension of a model
    • G. Schwartz Estimating the dimension of a model Ann. Stat. 6 1978 461 464
    • (1978) Ann. Stat. , vol.6 , pp. 461-464
    • Schwartz, G.1
  • 33
    • 0034228914 scopus 로고    scopus 로고
    • Assessing a mixture model for clustering with the integrated completed likelihood
    • C. Biernacki, G. Celeux, and G. Govaert Assessing a mixture model for clustering with the integrated completed likelihood IEEE Trans. Pattern Anal. Mach. Intell. 22 2000 719 725
    • (2000) IEEE Trans. Pattern Anal. Mach. Intell. , vol.22 , pp. 719-725
    • Biernacki, C.1    Celeux, G.2    Govaert, G.3
  • 39
    • 33645482651 scopus 로고    scopus 로고
    • Mining of vector time series by clustering
    • T.W. Liao, Mining of vector time series by clustering, Working paper, 2005.
    • (2005) Working Paper
    • Liao, T.W.1
  • 40
    • 0022082035 scopus 로고
    • Modified k-means clustering algorithm for use in isolated word recognition
    • J.G. Wilpon, and L.R. Rabiner Modified k -means clustering algorithm for use in isolated word recognition IEEE Trans. Acoust. Speech Signal Process. 33 3 1985 587 594
    • (1985) IEEE Trans. Acoust. Speech Signal Process. , vol.33 , Issue.3 , pp. 587-594
    • Wilpon, J.G.1    Rabiner, L.R.2
  • 41
    • 38249010866 scopus 로고
    • Using cluster analysis to classify time series
    • C.T. Shaw, and G.P. King Using cluster analysis to classify time series Physica D 58 1992 288 298
    • (1992) Physica D , vol.58 , pp. 288-298
    • Shaw, C.T.1    King, G.P.2
  • 42
    • 0032796478 scopus 로고    scopus 로고
    • On clustering fMRI time series
    • C. Goutte, P. Toft, and E. Rostrup On clustering fMRI time series Neuroimage 9 3 1999 298 310
    • (1999) Neuroimage , vol.9 , Issue.3 , pp. 298-310
    • Goutte, C.1    Toft, P.2    Rostrup, E.3
  • 44
    • 1642281827 scopus 로고    scopus 로고
    • Pattern discovery from stock time series using self-organizing maps
    • August 26-29, San Francisco
    • T.-C. Fu, F.-L. Chung, V. Ng, R. Luk, Pattern discovery from stock time series using self-organizing maps, KDD 2001 Workshop on Temporal Data Mining, August 26-29, San Francisco, 2001, pp. 27-37.
    • (2001) KDD 2001 Workshop on Temporal Data Mining , pp. 27-37
    • Fu, T.-C.1    Chung, F.-L.2    Ng, V.3    Luk, R.4
  • 45
    • 0031268934 scopus 로고    scopus 로고
    • Self-organizing feature maps and hidden Markov models for machine-tool monitoring
    • L.M.D. Owsley, L.E. Atlas, and G.D. Bernard Self-organizing feature maps and hidden Markov models for machine-tool monitoring IEEE Trans. Signal Process. 45 11 1997 2787 2798
    • (1997) IEEE Trans. Signal Process. , vol.45 , Issue.11 , pp. 2787-2798
    • Owsley, L.M.D.1    Atlas, L.E.2    Bernard, G.D.3
  • 47
    • 84981470151 scopus 로고
    • A distance measure for classifying ARMA models
    • D. Piccolo A distance measure for classifying ARMA models J. Time Ser. Anal. 11 2 1990 153 163
    • (1990) J. Time Ser. Anal. , vol.11 , Issue.2 , pp. 153-163
    • Piccolo, D.1
  • 48
    • 0033433090 scopus 로고    scopus 로고
    • Visualizing the relationship between time series by hierarchical smoothing models
    • J. Beran, and G. Mazzola Visualizing the relationship between time series by hierarchical smoothing models J. Comput. Graph. Stat. 8 2 1999 213 238
    • (1999) J. Comput. Graph. Stat. , vol.8 , Issue.2 , pp. 213-238
    • Beran, J.1    Mazzola, G.2
  • 49
    • 0034340199 scopus 로고    scopus 로고
    • Clusters of time series
    • E.A. Maharaj Clusters of time series J. Classification 17 2000 297 314
    • (2000) J. Classification , vol.17 , pp. 297-314
    • Maharaj, E.A.1
  • 54
    • 84945251208 scopus 로고    scopus 로고
    • Fuzzy c-means clustering-based speaker verification
    • N.R. Pal, M. Sugeno (Eds.), AFSS 2002
    • D. Tran, M. Wagner, Fuzzy c-means clustering-based speaker verification, in: N.R. Pal, M. Sugeno (Eds.), AFSS 2002, Lecture Notes in Artificial Intelligence, 2275, 2002, pp. 318-324.
    • (2002) Lecture Notes in Artificial Intelligence , vol.2275 , pp. 318-324
    • Tran, D.1    Wagner, M.2
  • 56
    • 84957705249 scopus 로고    scopus 로고
    • Temporal pattern generation using hidden Markov model based unsupervised classification
    • D.J. Hand, J.N. Kok, M.R. Berthold (Eds.) IDA '99, Springer, Berlin
    • C. Li, G. Biswas, Temporal pattern generation using hidden Markov model based unsupervised classification, in: D.J. Hand, J.N. Kok, M.R. Berthold (Eds.), Lecture Notes in Computer Science, vol. 164, IDA '99, Springer, Berlin, 1999, pp. 245-256.
    • (1999) Lecture Notes in Computer Science , vol.164 , pp. 245-256
    • Li, C.1    Biswas, G.2
  • 57
    • 84958525850 scopus 로고    scopus 로고
    • Building models of ecological dynamics using HMM based temporal data clustering - A preliminary study
    • F. Hoffmann et al. (Eds.), IDA 2001
    • C. Li, G. Biswas, M. Dale, P. Dale, Building models of ecological dynamics using HMM based temporal data clustering - a preliminary study, in: F. Hoffmann et al. (Eds.), IDA 2001, Lecture Notes in Computer Science, vol. 2189, 2001, pp. 53-62.
    • (2001) Lecture Notes in Computer Science , vol.2189 , pp. 53-62
    • Li, C.1    Biswas, G.2    Dale, M.3    Dale, P.4
  • 59
    • 0037116773 scopus 로고    scopus 로고
    • Simultaneous grouping of parts and machines with an integrated fuzzy clustering method
    • K. Josien, and T.W. Liao Simultaneous grouping of parts and machines with an integrated fuzzy clustering method Fuzzy Sets Syst. 126 1 2002 1 21
    • (2002) Fuzzy Sets Syst. , vol.126 , Issue.1 , pp. 1-21
    • Josien, K.1    Liao, T.W.2
  • 61
    • 0032124343 scopus 로고    scopus 로고
    • Democracy in pattern classifications: Combinations of votes from various pattern classifiers
    • G.S. Ng, and H. Singh Democracy in pattern classifications: combinations of votes from various pattern classifiers Artif. Intell. Eng. 12 1998 189 204
    • (1998) Artif. Intell. Eng. , vol.12 , pp. 189-204
    • Ng, G.S.1    Singh, H.2
  • 64
    • 2942749209 scopus 로고    scopus 로고
    • Segmenting time series: A survey and novel approach
    • M. Last A. Kandel H. Bunke World Scientific Singapore
    • E. Keogh, S. Chu, D. Hart, and M. Pazzani Segmenting time series: a survey and novel approach M. Last A. Kandel H. Bunke Data Mining in Time Series Databases 2004 World Scientific Singapore
    • (2004) Data Mining in Time Series Databases
    • Keogh, E.1    Chu, S.2    Hart, D.3    Pazzani, M.4
  • 65
    • 0036649978 scopus 로고    scopus 로고
    • A survey of temporal knowledge discovery paradigms and methods
    • J.F. Roddick, and M. Spiliopoulou A survey of temporal knowledge discovery paradigms and methods IEEE Trans. Knowledge Data Eng. 14 4 2002 750 767
    • (2002) IEEE Trans. Knowledge Data Eng. , vol.14 , Issue.4 , pp. 750-767
    • Roddick, J.F.1    Spiliopoulou, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.