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Volumn 17, Issue 3, 2007, Pages 253-262

Cluster analysis of massive datasets in astronomy

Author keywords

Clustering; Density contour cluster; Fast Fourier transform; Level set

Indexed keywords


EID: 34547868556     PISSN: 09603174     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11222-007-9027-x     Document Type: Article
Times cited : (18)

References (43)
  • 1
    • 18344412794 scopus 로고    scopus 로고
    • The cluster mass function from early Sloan digital sky survey data: Cosmological implications
    • Bahcall, N., et al.: The cluster mass function from early Sloan digital sky survey data: cosmological implications. Astrophys. J. 585, 182-190 (2003)
    • (2003) Astrophys. J , vol.585 , pp. 182-190
    • Bahcall, N.1
  • 2
    • 18044402908 scopus 로고    scopus 로고
    • Convergence rates in nonparametric estimation of level sets
    • Báillo, A., Cuesta-Albertos, J.A., Cuevas, A.: Convergence rates in nonparametric estimation of level sets. Stat. Probab. Lett. 53, 27-35 (2001)
    • (2001) Stat. Probab. Lett , vol.53 , pp. 27-35
    • Báillo, A.1    Cuesta-Albertos, J.A.2    Cuevas, A.3
  • 5
    • 0036888096 scopus 로고    scopus 로고
    • Halo models of large scale structure
    • Cooray, A., Sheth, R.K.: Halo models of large scale structure. Phys. Rep. 372, 1-129 (2002)
    • (2002) Phys. Rep , vol.372 , pp. 1-129
    • Cooray, A.1    Sheth, R.K.2
  • 6
    • 0031329212 scopus 로고    scopus 로고
    • Cuevas, A., Fraiman, R.: A. plugin approach to support estimation. Ann. Stat. 25, 2300-2312 (1997)
    • Cuevas, A., Fraiman, R.: A. plugin approach to support estimation. Ann. Stat. 25, 2300-2312 (1997)
  • 8
    • 0034343765 scopus 로고    scopus 로고
    • Estimating the number of clusters
    • Cuevas, A., Febrero, M., Fraiman, R.: Estimating the number of clusters. Can. J. Stat. 28, 367-382 (2000)
    • (2000) Can. J. Stat , vol.28 , pp. 367-382
    • Cuevas, A.1    Febrero, M.2    Fraiman, R.3
  • 9
    • 0035963461 scopus 로고    scopus 로고
    • Cluster analysis: A further approach based on density estimation
    • Cuevas, A., Febrero, M., Fraiman, R.: Cluster analysis: a further approach based on density estimation. Comput. Stat. Data Anal. 36, 441-459 (2001)
    • (2001) Comput. Stat. Data Anal , vol.36 , pp. 441-459
    • Cuevas, A.1    Febrero, M.2    Fraiman, R.3
  • 10
    • 0033587457 scopus 로고    scopus 로고
    • Stochastic non-linear galaxy biasing
    • Dekel, A., Lahav, O.: Stochastic non-linear galaxy biasing. Astrophys. J. 520, 24-34 (1999)
    • (1999) Astrophys. J , vol.520 , pp. 24-34
    • Dekel, A.1    Lahav, O.2
  • 11
    • 0000476095 scopus 로고
    • Detection of abnormal behavior via nonparametric estimation of the support
    • Devroye, L., Wise, G.: Detection of abnormal behavior via nonparametric estimation of the support. SIAM J. Appl. Math. 38, 480-488 (1980)
    • (1980) SIAM J. Appl. Math , vol.38 , pp. 480-488
    • Devroye, L.1    Wise, G.2
  • 13
    • 0035998835 scopus 로고    scopus 로고
    • Model-based clustering, discriminant analysis, and density estimation
    • Fraley, C., Raftery, A.: Model-based clustering, discriminant analysis, and density estimation. J. Am. Stat. Assoc. 97, 611-631 (2002)
    • (2002) J. Am. Stat. Assoc , vol.97 , pp. 611-631
    • Fraley, C.1    Raftery, A.2
  • 15
    • 34547909790 scopus 로고    scopus 로고
    • Gray, A., Moore, A.: Rapid evaluation of multiple density models. Artif. Intell. Stat. (2003)
    • Gray, A., Moore, A.: Rapid evaluation of multiple density models. Artif. Intell. Stat. (2003)
  • 16
    • 0030076590 scopus 로고    scopus 로고
    • On the accuracy of binned kernel density estimators
    • Hall, P., Wand, M.: On the accuracy of binned kernel density estimators. J. Multivar. Anal. 56, 165-184 (1996)
    • (1996) J. Multivar. Anal , vol.56 , pp. 165-184
    • Hall, P.1    Wand, M.2
  • 18
    • 38049124806 scopus 로고    scopus 로고
    • Statistical clustering
    • Tech. Rep, Department of Statistics, Yale University
    • Hartigan, J.: Statistical clustering. Tech. Rep., Department of Statistics, Yale University (2000)
    • (2000)
    • Hartigan, J.1
  • 19
    • 34547915029 scopus 로고    scopus 로고
    • Nonparametric density estimation and galaxy clustering
    • Springer, New York
    • Jang, W.: Nonparametric density estimation and galaxy clustering. In: Statistical Challenges in Astronomy, pp. 443-445. Springer, New York (2003)
    • (2003) Statistical Challenges in Astronomy , pp. 443-445
    • Jang, W.1
  • 20
    • 25444451915 scopus 로고    scopus 로고
    • Nonparametric density estimation and clustering in astronomical sky surveys
    • Jang, W.: Nonparametric density estimation and clustering in astronomical sky surveys. Comput. Stat. Data Anal. 50, 760-774 (2006)
    • (2006) Comput. Stat. Data Anal , vol.50 , pp. 760-774
    • Jang, W.1
  • 21
    • 34547861471 scopus 로고    scopus 로고
    • Nonparametric confidence sets for densities
    • Tech. Rep. 795, Department of Statistics, Carnegie Mellon University
    • Jang, W., Genovese, C., Wasserman, L.: Nonparametric confidence sets for densities. Tech. Rep. 795, Department of Statistics, Carnegie Mellon University (2004)
    • (2004)
    • Jang, W.1    Genovese, C.2    Wasserman, L.3
  • 22
    • 0002852128 scopus 로고
    • Clustering in real space and in redshift space
    • Kaiser, N.: Clustering in real space and in redshift space. Mon. Not. Roy. Astron. Soc. 227, 1-21 (1987)
    • (1987) Mon. Not. Roy. Astron. Soc , vol.227 , pp. 1-21
    • Kaiser, N.1
  • 26
    • 84899029127 scopus 로고    scopus 로고
    • Very fast em-based mixture model clustering using multiresolution kd-trees
    • Moore, A.: Very fast em-based mixture model clustering using multiresolution kd-trees. In: Advances in Neural Information Processing Systems, pp. 543-549 (1999)
    • (1999) In: Advances in Neural Information Processing Systems , pp. 543-549
    • Moore, A.1
  • 27
    • 0010277524 scopus 로고    scopus 로고
    • Experiments with computing geometric minimum, spanning trees
    • Proceedings of ALENEX'00, Springer, New York
    • Narasimhan, G., Zhu, J., Zachariasen, M.: Experiments with computing geometric minimum, spanning trees. In: Proceedings of ALENEX'00. Lecture Notes in Computer Science, pp. 183-196. Springer, New York (2000)
    • (2000) Lecture Notes in Computer Science , pp. 183-196
    • Narasimhan, G.1    Zhu, J.2    Zachariasen, M.3
  • 28
    • 34547923905 scopus 로고    scopus 로고
    • Private communication
    • Nichol, R.: Private communication (2006)
    • (2006)
    • Nichol, R.1
  • 29
    • 0041753794 scopus 로고    scopus 로고
    • Computational AstroStatistics: Fast algorithms and efficient statistics for density estimation in large astronomical datasets
    • Proceedings of Virtual Observatories of the Future, San Francisco
    • Nichol, R.C, Connolly, A.J., Moore, A.W., Schneider, J., Genovese, C., Wasserman, L.: Computational AstroStatistics: fast algorithms and efficient statistics for density estimation in large astronomical datasets. In: Proceedings of Virtual Observatories of the Future. ASP Conference Series, vol. 225, p. 265. San Francisco (2001)
    • (2001) ASP Conference Series , vol.225 , pp. 265
    • Nichol, R.C.1    Connolly, A.J.2    Moore, A.W.3    Schneider, J.4    Genovese, C.5    Wasserman, L.6
  • 30
    • 33745316768 scopus 로고    scopus 로고
    • Bayesian model selection analysis of WMAP3
    • Parkinson, D., Mukherjee, P., Liddle, A.R.: Bayesian model selection analysis of WMAP3. Phys. Rev. D 73, 123523 (2006)
    • (2006) Phys. Rev. D , vol.73 , pp. 123523
    • Parkinson, D.1    Mukherjee, P.2    Liddle, A.R.3
  • 31
    • 0001429631 scopus 로고
    • Formation of galaxies and clusters of galaxies by self-similar gravitational condensation
    • Press, W.H., Schechter, P.: Formation of galaxies and clusters of galaxies by self-similar gravitational condensation. Astrophys. J. 187, 425-438 (1974)
    • (1974) Astrophys. J , vol.187 , pp. 425-438
    • Press, W.H.1    Schechter, P.2
  • 32
    • 33748324384 scopus 로고    scopus 로고
    • R Development Core Team:, R Foundation for Statistical Computing
    • R Development Core Team: R: a language and environment for statistical computing. R Foundation for Statistical Computing, http://www.R-project.org (2006)
    • (2006) R: A language and environment for statistical computing
  • 35
  • 36
    • 34547898225 scopus 로고    scopus 로고
    • Silverman, B.W.: Algorithm AS 176: Kernel density estimation using the fast Fourier transform. Appl. Stat. 31, 93-99 (1982)
    • Silverman, B.W.: Algorithm AS 176: Kernel density estimation using the fast Fourier transform. Appl. Stat. 31, 93-99 (1982)
  • 37
    • 21844462364 scopus 로고    scopus 로고
    • A classification framework for anomaly detection
    • Steinwart, I., Hush, D., Scovel, C.: A classification framework for anomaly detection. J. Mach. Learn. Res. 6, 211-232 (2005)
    • (2005) J. Mach. Learn. Res , vol.6 , pp. 211-232
    • Steinwart, I.1    Hush, D.2    Scovel, C.3
  • 38
    • 0037560966 scopus 로고    scopus 로고
    • Estimating the cluster tree of a density by analyzing the minimal spanning tree of a sample
    • Stuetzle, W.: Estimating the cluster tree of a density by analyzing the minimal spanning tree of a sample. J. Classif. 20, 25-47 (2003)
    • (2003) J. Classif , vol.20 , pp. 25-47
    • Stuetzle, W.1
  • 39
    • 84952221978 scopus 로고
    • Fast computation of multivariate kernel estimators
    • Wand, M.: Fast computation of multivariate kernel estimators. J. Comput. Graph. Stat. 3, 433-445 (1994)
    • (1994) J. Comput. Graph. Stat , vol.3 , pp. 433-445
    • Wand, M.1
  • 42
    • 34547882939 scopus 로고    scopus 로고
    • Efficient algorithms for non-parametric clustering with clutter
    • Wong, W.-K., Moore, A.: Efficient algorithms for non-parametric clustering with clutter. Comput. Sci. Stat. 34, 541-553 (2002)
    • (2002) Comput. Sci. Stat , vol.34 , pp. 541-553
    • Wong, W.-K.1    Moore, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.