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Volumn 38, Issue 9, 2011, Pages 11891-11900

A novel clustering method on time series data

Author keywords

Clustering; Dynamic time warping; Nearest neighbor network; Time series

Indexed keywords

CLUSTERING; CLUSTERING PROCESS; CLUSTERING TIME SERIES; COMPLEX NETWORKS; DYNAMIC TIME WARPING; DYNAMIC TIME WARPING DISTANCE; HIERARCHICAL CLUSTERING ALGORITHMS; NEAREST NEIGHBORS; NOVEL ALGORITHM; NOVEL CLUSTERING; SHAPE BASED; SYNTHETIC AND REAL DATA; TIME SERIES CLUSTERING; TIME-SERIES DATA;

EID: 79955630000     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2011.03.081     Document Type: Article
Times cited : (72)

References (49)
  • 1
    • 0034954376 scopus 로고    scopus 로고
    • Aligning gene expression time series with time warping algorithms
    • J. Aach, and G.M. Church Aligning gene expression time series with time warping algorithms Bioinformatics 17 6 2001 495 508 (Pubitemid 32600496)
    • (2001) Bioinformatics , vol.17 , Issue.6 , pp. 495-508
    • Aach, J.1    Church, G.M.2
  • 6
    • 15544384126 scopus 로고    scopus 로고
    • Clustering time series with clipped data
    • DOI 10.1007/s10994-005-5825-6
    • A. Bagnall, and G. Janacek Clustering time series with clipped data Machine Learning 58 2-3 2005 151 178 (Pubitemid 40400636)
    • (2005) Machine Learning , vol.58 , Issue.2-3 , pp. 151-178
    • Bagnall, A.1    Janacek, G.2
  • 7
    • 33745108812 scopus 로고    scopus 로고
    • A bit level representation for time series data mining with shape based similarity
    • DOI 10.1007/s10618-005-0028-0
    • A. Bagnall, C.A. Ratanamahatana, E. Keogh, S. Lonardi, and G. Janacek A bit level representation for time series data mining with shape based similarity Data Mining and Knowledge Discovery 13 1 2006 11 40 (Pubitemid 43882555)
    • (2006) Data Mining and Knowledge Discovery , vol.13 , Issue.1 , pp. 11-40
    • Bagnall, A.1    Ratanamahatana, C.2    Keogh, E.3    Lonardi, S.4    Janacek, G.5
  • 8
    • 33646933601 scopus 로고    scopus 로고
    • Online clustering of parallel data streams
    • DOI 10.1016/j.datak.2005.05.009, PII S0169023X05000819
    • J. Beringer, and E. Hüllermeier Online clustering of parallel data streams Data and Knowledge Engineering 58 2 2006 180 204 (Pubitemid 43795465)
    • (2006) Data and Knowledge Engineering , vol.58 , Issue.2 , pp. 180-204
    • Beringer, J.1    Hullermeier, E.2
  • 10
    • 8344243818 scopus 로고    scopus 로고
    • Similarity-based clustering of sequences using hidden Markov models
    • Bicego, M.; Murino, V.; & Figueiredo, M. A. T. (2003). Similarity-based clustering of sequences using hidden Markov models. In Lecture Notes in Computer Science (Vol. 2734, pp. 95-104).
    • (2003) Lecture Notes in Computer Science , vol.2734 , pp. 95-104
    • Bicego, M.1    Murino, V.2    Figueiredo, M.A.T.3
  • 16
    • 35748959377 scopus 로고    scopus 로고
    • Time series clustering and classification by the autoregressive metric
    • DOI 10.1016/j.csda.2007.06.001, PII S0167947307002368
    • M. Corduas, and D. Piccoloa Time series clustering and classification by the autoregressive metric Computational Statistics and Data Analysis 52 4 2008 1860 1872 (Pubitemid 350051433)
    • (2008) Computational Statistics and Data Analysis , vol.52 , Issue.4 , pp. 1860-1872
    • Corduas, M.1    Piccolo, D.2
  • 17
    • 0030095346 scopus 로고    scopus 로고
    • 1
    • DOI 10.1016/0304-4149(95)00090-9
    • R. Dahlhaus On the Kullback-Leibler information divergence of locally stationary processes Stochastic Processes and Their Applications 62 1 1996 139 168 (Pubitemid 126161994)
    • (1996) Stochastic Processes and their Applications , vol.62 , Issue.1 , pp. 139-168
    • Dahlhaus, R.1
  • 19
    • 84875058969 scopus 로고    scopus 로고
    • Pattern Extraction for Time Series Classification
    • Principles of Data Mining and Knowledge Discovery
    • Geurts, P. (2001). Pattern extraction for time series classification. In Lecture notes in computer science (pp. 115-127). (Pubitemid 33331855)
    • (2001) Lecture Notes in Computer Science , Issue.2168 , pp. 115-127
    • Geurts, P.1
  • 24
    • 34147169446 scopus 로고    scopus 로고
    • An interweaved HMM/DTW approach to robust time series clustering
    • DOI 10.1109/ICPR.2006.257, 1699488, Proceedings - 18th International Conference on Pattern Recognition, ICPR 2006
    • Hu, J. Y.; Ray, B.; & Han, L. (2006). An interweaved HMM/DTW approach to robust time series clustering. In Proceedings of eighteenth international conference on pattern recognition (pp. 145-148). (Pubitemid 46553084)
    • (2006) Proceedings - International Conference on Pattern Recognition , vol.3 , pp. 145-148
    • Jianying, H.1    Ray, B.2    Lanshan, H.3
  • 25
    • 26944459980 scopus 로고    scopus 로고
    • A likelihood ratio distance measure for the similarity between the Fourier transform of time series
    • Janacek, G. J.; Bagnall, A. J.; & Powell, M. (2005). A likelihood ratio distance measure for the similarity between the Fourier transform of time series. In Lecture notes in computer science (Vol. 3518, pp. 737-743).
    • (2005) Lecture Notes in Computer Science , vol.3518 , pp. 737-743
    • Janacek, G.J.1    Bagnall, A.J.2    Powell, M.3
  • 29
    • 14844285758 scopus 로고    scopus 로고
    • Exact indexing of dynamic time warping
    • DOI 10.1007/s10115-004-0154-9
    • E. Keogh, and C.A. Ratanamahatana Exact indexing of dynamic time warping Knowledge and Information Systems 7 3 2005 358 386 (Pubitemid 40347209)
    • (2005) Knowledge and Information Systems , vol.7 , Issue.3 , pp. 358-386
    • Keogh, E.1    Ratanamahatana, C.A.2
  • 30
    • 0002182408 scopus 로고
    • Cross-sectional approach for clustering time varying data
    • K. Košmelj, and V. Batagelj Cross-sectional approach for clustering time varying data Journal of Classification 7 1 1990 99 109
    • (1990) Journal of Classification , vol.7 , Issue.1 , pp. 99-109
    • Košmelj, K.1    Batagelj, V.2
  • 32
    • 24044470614 scopus 로고    scopus 로고
    • Clustering of time series data - A survey
    • T.W. Liao Clustering of time series data - A survey Pattern Recognition 38 11 2005 1857 1874
    • (2005) Pattern Recognition , vol.38 , Issue.11 , pp. 1857-1874
    • Liao, T.W.1
  • 34
    • 0035755014 scopus 로고    scopus 로고
    • Efficient and robust feature extraction and pattern matching of time series by a lattice structure
    • Man, P. W. P.; & Wong, M. H. (2001). Efficient and robust feature extraction and pattern matching of time series by a lattice structure. In Proceedings of the tenth international conference on information and knowledge management (pp. 271-278). (Pubitemid 34974640)
    • (2001) International Conference on Information and Knowledge Management, Proceedings , pp. 271-278
    • Man, P.W.P.1    Wong, M.H.2
  • 35
  • 39
    • 0037905617 scopus 로고    scopus 로고
    • Time-frequency clustering and discriminant analysis
    • DOI 10.1016/S0167-7152(03)00095-6, PII S0167715203000956
    • R.H. Shumway Time-frequency clustering and discriminant analysis Statistics and Probability Letters 63 3 2003 307 314 (Pubitemid 36678178)
    • (2003) Statistics and Probability Letters , vol.63 , Issue.3 , pp. 307-314
    • Shumway, R.H.1
  • 41
    • 84945251208 scopus 로고    scopus 로고
    • Fuzzy c-means clustering-based speaker verification
    • Tran, D.; & Wagner, M. (2002). Fuzzy c-means clustering-based speaker verification. In Lecture notes in computer science (Vol. 2275, pp. 363-369).
    • (2002) Lecture Notes in Computer Science , vol.2275 , pp. 363-369
    • Tran, D.1    Wagner, M.2
  • 43
    • 4344696555 scopus 로고    scopus 로고
    • The "new" science of networks
    • D.J. Watts The "New" science of networks Annual Review of Sociology 30 2004 243 270
    • (2004) Annual Review of Sociology , vol.30 , pp. 243-270
    • Watts, D.J.1
  • 49


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.