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Volumn 2, Issue , 2012, Pages 1527-1534

Agglomerative Bregman clustering

Author keywords

[No Author keywords available]

Indexed keywords

AGGLOMERATIVE CLUSTERING; BREGMAN DIVERGENCES; CLUSTER MODELS; CONVEX FUNCTIONS; EXPONENTIAL FAMILY; NON-DIFFERENTIABLE; OVERCOMPLETE REPRESENTATIONS; SMOOTHING TECHNIQUES;

EID: 84867130064     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (21)

References (22)
  • 1
    • 0035370926 scopus 로고    scopus 로고
    • Relative loss bounds for on-line density estimation with the exponential family of distributions
    • Azoury, Katy S. and Warmuth, Manfred K. Relative loss bounds for on-line density estimation with the exponential family of distributions. Machine Learning, 43(3):211-246, 2001.
    • (2001) Machine Learning , vol.43 , Issue.3 , pp. 211-246
    • Azoury, K.S.1    Warmuth, M.K.2
  • 10
    • 0032131702 scopus 로고    scopus 로고
    • Algorithms for model-based gaussian hierarchical clustering
    • Fraley, C. Algorithms for model-based gaussian hierarchical clustering. SIAM Journal on Scientific Computing, 20:270-281, 1998.
    • (1998) SIAM Journal on Scientific Computing , vol.20 , pp. 270-281
    • Fraley, C.1
  • 11
    • 84867119473 scopus 로고    scopus 로고
    • Hierarchical gaussian mixture model
    • Garcia, Vincent, Nielsen, Frank, and Nock, Richard. Hierarchical gaussian mixture model. In ICASSP, pp. 4070-4073, 2010.
    • (2010) ICASSP , pp. 4070-4073
    • Garcia, V.1    Nielsen, F.2    Nock, R.3
  • 13
    • 31844448530 scopus 로고    scopus 로고
    • Bayesian hierarchical clustering
    • Heller, Katherine A. and Ghahramani, Zoubin. Bayesian hierarchical clustering. In ICML, pp. 297-304, 2005.
    • (2005) ICML , pp. 297-304
    • Heller, K.A.1    Ghahramani, Z.2
  • 15
    • 85041328428 scopus 로고
    • Hierarchical bayesian clustering for automatic text classification
    • Iwayama, Makoto and Tokunaga, Takenobu. Hierarchical bayesian clustering for automatic text classification. In IJCAI, pp. 1322-1327, 1995.
    • (1995) IJCAI , pp. 1322-1327
    • Iwayama, M.1    Tokunaga, T.2
  • 16
    • 0031190440 scopus 로고
    • Proximal minimization methods with generalized Bregman functions
    • Kiwiel, Krzysztof C. Proximal minimization methods with generalized Bregman functions. SIAM journal on control and optimization, 35:1142-1168, 1995.
    • (1995) SIAM Journal on Control and Optimization , vol.35 , pp. 1142-1168
    • Kiwiel, K.C.1
  • 18
    • 0020848951 scopus 로고
    • A Survey of Recent Advances in Hierarchical Clustering Algorithms
    • Murtagh, Fionn. A Survey of Recent Advances in Hierarchical Clustering Algorithms. The Computer Journal, 26(4):354-359, 1983.
    • (1983) The Computer Journal , vol.26 , Issue.4 , pp. 354-359
    • Murtagh, F.1
  • 22
    • 84944178665 scopus 로고
    • Hierarchical grouping to optimize an objective function
    • Ward, Joe H. Hierarchical grouping to optimize an objective function. Journal of the American Statistical Association, 58(301):236-244, 1963.
    • (1963) Journal of the American Statistical Association , vol.58 , Issue.301 , pp. 236-244
    • Ward, J.H.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.