메뉴 건너뛰기




Volumn , Issue , 2016, Pages 1459-1467

Approximate K-Means++ in sublinear time

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; CLUSTERING ALGORITHMS; MARKOV PROCESSES; MONTE CARLO METHODS;

EID: 84988622349     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (150)

References (32)
  • 5
    • 84969135721 scopus 로고    scopus 로고
    • K-means++: The advantages of careful seeding
    • Society for Industrial and Applied Mathematics
    • Arthur, D., and Vassilvitskii, S. 2007. k-means++: The advantages of careful seeding. In Symposium on Discrete Algorithms (SODA), 1027-1035. Society for Industrial and Applied Mathematics.
    • (2007) Symposium on Discrete Algorithms (SODA) , pp. 1027-1035
    • Arthur, D.1    Vassilvitskii, S.2
  • 8
    • 70349129917 scopus 로고    scopus 로고
    • Approximate clustering without the approximation
    • Society for Industrial and Applied Mathematics
    • Balcan, M.-F.; Blum, A.; and Gupta, A. 2009. Approximate clustering without the approximation. In Symposium on Discrete Algorithms (SODA), 1068-1077. Society for Industrial and Applied Mathematics.
    • (2009) Symposium on Discrete Algorithms (SODA) , pp. 1068-1077
    • Balcan, M.-F.1    Blum, A.2    Gupta, A.3
  • 13
    • 0034346504 scopus 로고    scopus 로고
    • Exact bound for the convergence of metropolis chains
    • Cai, H. 2000. Exact bound for the convergence of Metropolis chains. Stochastic Analysis and Applications 18(1):63-71.
    • (2000) Stochastic Analysis and Applications , vol.18 , Issue.1 , pp. 63-71
    • Cai, H.1
  • 14
    • 84872575253 scopus 로고    scopus 로고
    • Learning feature representations with k-means
    • Springer
    • Coates, A., and Ng, A. Y. 2012. Learning feature representations with k-means. In Neural Networks: Tricks of the Trade. Springer. 561-580.
    • (2012) Neural Networks: Tricks of the Trade , pp. 561-580
    • Coates, A.1    Ng, A.Y.2
  • 18
    • 77956890234 scopus 로고
    • Monte Carlo sampling methods using Markov chains and their applications
    • Hastings, W. K. 1970. Monte Carlo sampling methods using Markov chains and their applications. Biometrika 57(1):97-109.
    • (1970) Biometrika , vol.57 , Issue.1 , pp. 97-109
    • Hastings, W.K.1
  • 20
    • 84904257046 scopus 로고    scopus 로고
    • A simple D2-sampling based PTAS for k-means and other clustering problems
    • Jaiswal, R.; Kumar, A.; and Sen, S. 2014. A simple D2-sampling based PTAS for k-means and other clustering problems. Algorithmica 70(1):22-46.
    • (2014) Algorithmica , vol.70 , Issue.1 , pp. 22-46
    • Jaiswal, R.1    Kumar, A.2    Sen, S.3
  • 21
    • 84911914209 scopus 로고    scopus 로고
    • Improved analysis of D2-sampling based PTAS for k-means and other clustering problems
    • Jaiswal, R.; Kumar, M.; and Yadav, P. 2015. Improved analysis of D2-sampling based PTAS for k-means and other clustering problems. Information Processing Letters 115(2):100-103.
    • (2015) Information Processing Letters , vol.115 , Issue.2 , pp. 100-103
    • Jaiswal, R.1    Kumar, M.2    Yadav, P.3
  • 22
    • 85007187671 scopus 로고    scopus 로고
    • KDD Cup. Retrieved from osmot.cs.cornell.edu/kddcup
    • KDD Cup. 2004. Protein Homology Dataset. Retrieved from osmot.cs.cornell.edu/kddcup.
    • (2004) Protein Homology Dataset
  • 26
    • 0000963889 scopus 로고
    • Strong consistency of k-means clustering
    • Pollard, D. 1981. Strong consistency of k-means clustering. The Annals of Statistics 9(1):135-140.
    • (1981) The Annals of Statistics , vol.9 , Issue.1 , pp. 135-140
    • Pollard, D.1
  • 28
    • 85162439676 scopus 로고    scopus 로고
    • Fast and accurate k-means for large datasets
    • Shindler, M.; Wong, A.; and Meyerson, A. W. 2011. Fast and accurate k-means for large datasets. In NIPS, 2375-2383.
    • (2011) NIPS , pp. 2375-2383
    • Shindler, M.1    Wong, A.2    Meyerson, A.W.3
  • 29
    • 85007234541 scopus 로고    scopus 로고
    • United States Geological Survey. Retrieved from the mldata.org repository
    • United States Geological Survey. 2010. Global Earthquakes (1.1.1972-19.3.2010). Retrieved from the mldata.org repository.
    • (2010) Global Earthquakes (1.1.1972-19.3.2010)
  • 32
    • 71749094178 scopus 로고    scopus 로고
    • Parallel k-means clustering based on map reduce
    • Springer
    • Zhao, W.; Ma, H.; and He, Q. 2009. Parallel k-means clustering based on MapReduce. In Cloud Computing. Springer. 674-679.
    • (2009) Cloud Computing , pp. 674-679
    • Zhao, W.1    Ma, H.2    He, Q.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.