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Volumn 24, Issue 2, 2012, Pages 209-219

Agglomerative mean-shift clustering

Author keywords

agglomerative clustering; half quadratic optimization; incremental clustering; Mean shift

Indexed keywords

AGGLOMERATIVE CLUSTERING; CLUSTERING METHODS; COMPRESSION MECHANISM; COMPUTATIONAL COSTS; DATA SETS; INCREMENTAL CLUSTERING; MEAN SHIFT; NON-PARAMETRIC; PERFORMANCE ANALYSIS; RUNNING TIME; SYNTHETIC AND REAL DATA;

EID: 84555208662     PISSN: 10414347     EISSN: None     Source Type: Journal    
DOI: 10.1109/TKDE.2010.232     Document Type: Article
Times cited : (52)

References (48)
  • 1
    • 33645674847 scopus 로고    scopus 로고
    • On global and local convergence of half-quadratic algorithms
    • May
    • M. Allain, J. Idier, and Y. Goussard, "On Global and Local Convergence of Half-quadratic Algorithms," IEEE Trans. Image Processing, vol. 15, no. 5, pp. 1130-1142, May 2006.
    • (2006) IEEE Trans. Image Processing , vol.15 , Issue.5 , pp. 1130-1142
    • Allain, M.1    Idier, J.2    Goussard, Y.3
  • 2
    • 0346118745 scopus 로고    scopus 로고
    • A common framework for nonlinear diffusion, adaptive smoothing, bilateral filtering and mean shift
    • Jan.
    • D. Barash and D. Comaniciu, "A Common Framework for Nonlinear Diffusion, Adaptive Smoothing, Bilateral Filtering and Mean Shift," Image and Vision Computing, vol. 22, no. 1, pp. 73-81, Jan. 2004.
    • (2004) Image and Vision Computing , vol.22 , Issue.1 , pp. 73-81
    • Barash, D.1    Comaniciu, D.2
  • 10
    • 34250739442 scopus 로고    scopus 로고
    • Fast nonparametric clustering with Gaussian blurring mean-shift
    • DOI 10.1145/1143844.1143864, ACM International Conference Proceeding Series - Proceedings of the 23rd International Conference on Machine Learning, ICML 2006
    • M. Carreira-Perpinan, "Fast Nonparametric Clustering with Gaussian Blurring Mean-Shift," Proc. Int'l Conf. Machine Learning, pp. 153-160, 2006. (Pubitemid 46966839)
    • (2006) ACM International Conference Proceeding Series , vol.148 , pp. 153-160
    • Carreira-Perpinan, M.A.1
  • 16
    • 0036565814 scopus 로고    scopus 로고
    • Mean shift: A robust approach toward feature space analysis
    • DOI 10.1109/34.1000236
    • D. Comaniciu and P. Meer, "Mean Shift: A Robust Approach toward Feature Space Analysis," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 24, no. 5, pp. 603-619, May 2002. (Pubitemid 34550429)
    • (2002) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.24 , Issue.5 , pp. 603-619
    • Comaniciu, D.1    Meer, P.2
  • 18
    • 60849121404 scopus 로고    scopus 로고
    • Using instance-level constraints in agglomerative hierarchical clustering: Theoretical and empirical results
    • Apr.
    • I. Davidson and S. S. Ravi, "Using Instance-Level Constraints in Agglomerative Hierarchical Clustering: Theoretical and Empirical Results," Data Mining and Knowledge Discovery, vol. 18, no. 2, pp. 257-282, Apr. 2009.
    • (2009) Data Mining and Knowledge Discovery , vol.18 , Issue.2 , pp. 257-282
    • Davidson, I.1    Ravi, S.S.2
  • 19
    • 84985668696 scopus 로고    scopus 로고
    • A natural agglomerative clusteringmethod for biology
    • Jan.
    • L. Dragomirescu and T. Postelnicu, "A Natural Agglomerative Clusteringmethod for Biology," Biometrical J., vol. 33, no. 7, pp. 841-849, Jan. 2007.
    • (2007) Biometrical J. , vol.33 , Issue.7 , pp. 841-849
    • Dragomirescu, L.1    Postelnicu, T.2
  • 22
    • 0016421071 scopus 로고
    • The Estimation of the gradient of a density function, with application in pattern recognition
    • Jan.
    • K. Fukunaga and L. Hostetler, "The Estimation of the Gradient of a Density Function, with Application in Pattern Recognition," IEEE Trans. Information Theory, vol. 21, no. 1, pp. 32-40, Jan. 1975.
    • (1975) IEEE Trans. Information Theory , vol.21 , Issue.1 , pp. 32-40
    • Fukunaga, K.1    Hostetler, L.2
  • 24
    • 0345414073 scopus 로고    scopus 로고
    • Mean shift based clustering in high dimensions: A texture classification example
    • B. Georgescu, I. Shimshoni, and P. Meer, "Mean Shift Based Clustering in High Dimensions: A Texture Classification Example," Proc. IEEE Int'l Conf. Computer Vision, vol. 1, pp. 456-463, 2003.
    • (2003) Proc. IEEE Int'l Conf. Computer Vision , vol.1 , pp. 456-463
    • Georgescu, B.1    Shimshoni, I.2    Meer, P.3
  • 26
    • 0032091595 scopus 로고    scopus 로고
    • CURE: An efficient clustering algorithm for large databases
    • S. Guha, R. Rastogi, and K. Shim, "Cure: An Efficient Clustering Algorithm for Large Databases," Proc. ACM SIGMOD Int'l Conf. Management of Data, pp. 73-84, 1998. (Pubitemid 128655958)
    • (1998) SIGMOD Record , vol.27 , Issue.2 , pp. 73-84
    • Guha, S.1    Rastogi, R.2    Shim, K.3
  • 28
  • 29
    • 85142688646 scopus 로고
    • Newsweeder: Learning to filter netnews
    • K. Lang, "Newsweeder: Learning to Filter Netnews," Proc. Int'l Conf. Machine Learning, pp. 331-339, 1995.
    • (1995) Proc. Int'l Conf. Machine Learning , pp. 331-339
    • Lang, K.1
  • 31
    • 3042539754 scopus 로고    scopus 로고
    • Ijcnn 2001 neural network competition
    • Ford Research Laboratory
    • D. Prokhorov, "Ijcnn 2001 Neural Network Competition," Slide Presentation in ijcnn 01, Ford Research Laboratory, 2001.
    • (2001) Slide Presentation in Ijcnn 01
    • Prokhorov, D.1
  • 35
    • 34247329358 scopus 로고    scopus 로고
    • Fast global kernel density mode seeking: Applications to localization and tracking
    • DOI 10.1109/TIP.2007.894233
    • C. Shen, M. J. Brooks, and A. V. D. Hengel, "Fast Global Kernel Density Mode Seeking: Applications to Localization and Tracking," IEEE Trans. Image Processing, vol. 16, no. 5, pp. 1457-1469, May 2007. (Pubitemid 46629568)
    • (2007) IEEE Transactions on Image Processing , vol.16 , Issue.5 , pp. 1457-1469
    • Shen, C.1    Brooks, M.J.2    Van Den Hengel, A.3
  • 37
    • 33745947935 scopus 로고    scopus 로고
    • Simultaneous multiple 3D motion estimation via mode finding on lie groups
    • DOI 10.1109/ICCV.2005.226, 1541234, Proceedings - 10th IEEE International Conference on Computer Vision, ICCV 2005
    • O. Tuzel, R. Subbarao, and P. Meer, "Simultaneous Multiple 3D Motion Estimation via Mode Finding on Lie Groups," Proc. IEEE Int'l Conf. Computer Vision, pp. 18-25, 2005. (Pubitemid 44054936)
    • (2005) Proceedings of the IEEE International Conference on Computer Vision , vol.1 , pp. 18-25
    • Tuzel, O.1    Subbarao, R.2    Meer, P.3
  • 38
    • 56749131266 scopus 로고    scopus 로고
    • Quick shift and kernel methods for mode seeking
    • A. Vedaldi and S. Soatto, "Quick Shift and Kernel Methods for Mode Seeking," Proc. European Conf. Computer Vision, vol. 4, pp. 705-718, 2008.
    • (2008) Proc. European Conf. Computer Vision , vol.4 , pp. 705-718
    • Vedaldi, A.1    Soatto, S.2
  • 45
    • 50649092224 scopus 로고    scopus 로고
    • Half quadratic analysis for mean shift: With extension to a sequential data mode-seeking method
    • X. Yuan and S. Z. Li, "Half Quadratic Analysis for Mean Shift: With Extension to a Sequential Data Mode-Seeking Method," Proc. IEEE Int'l Conf. Computer Vision, 2007.
    • (2007) Proc. IEEE Int'l Conf. Computer Vision
    • Yuan, X.1    Li, S.Z.2
  • 48
    • 24044537630 scopus 로고    scopus 로고
    • Hierarchical clustering algorithms for document datasets
    • DOI 10.1007/s10618-005-0361-3
    • Y. Zho and G. Karypis, "Hierarchical Clustering Algorithms for Document Datasets," Data Mining and Knowledge Discovery, vol. 10, no. 2, pp. 141-168, Mar. 2005. (Pubitemid 41217849)
    • (2005) Data Mining and Knowledge Discovery , vol.10 , Issue.2 , pp. 141-168
    • Zhao, Y.1    Karypis, G.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.