An advancement in clustering via nonparametric density estimation (English)
- New search for: Menardi, Giovanna
- New search for: Azzalini, Adelchi
- New search for: Menardi, Giovanna
- New search for: Azzalini, Adelchi
In:
Statistics and Computing
;
24
, 5
;
753-767
;
2013
- Article (Journal) / Electronic Resource
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Title:An advancement in clustering via nonparametric density estimation
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Contributors:Menardi, Giovanna ( author ) / Azzalini, Adelchi ( author )
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Published in:Statistics and Computing ; 24, 5 ; 753-767
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Publisher:
- New search for: Springer US
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Place of publication:Boston
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Publication date:2013-05-09
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Size:15 pages
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ISSN:
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DOI:
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Type of media:Article (Journal)
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Type of material:Electronic Resource
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Language:English
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Keywords:
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Source:
Table of contents – Volume 24, Issue 5
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 675
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Detection of structurally homogeneous subsets in graphsLeger, Jean-Benoist / Vacher, Corinne / Daudin, Jean-Jacques et al. | 2013
- 693
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An improved SAEM algorithm for maximum likelihood estimation in mixtures of non linear mixed effects modelsLavielle, Marc / Mbogning, Cyprien et al. | 2013
- 709
-
Improving power posterior estimation of statistical evidenceFriel, Nial / Hurn, Merrilee / Wyse, Jason et al. | 2013
- 725
-
Random effects selection in generalized linear mixed models via shrinkage penalty functionPan, Jianxin / Huang, Chao et al. | 2013
- 739
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MCMC implementation for Bayesian hidden semi-Markov models with illustrative applicationsEconomou, Theodoros / Bailey, Trevor C. / Kapelan, Zoran et al. | 2013
- 753
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An advancement in clustering via nonparametric density estimationMenardi, Giovanna / Azzalini, Adelchi et al. | 2013
- 769
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Geographically Weighted Negative Binomial Regression—incorporating overdispersionda Silva, Alan Ricardo / Rodrigues, Thais Carvalho Valadares et al. | 2013
- 785
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Recognizing and visualizing departures from independence in bivariate data using local Gaussian correlationBerentsen, Geir Drage / Tjøstheim, Dag et al. | 2013
- 803
-
APPLE: approximate path for penalized likelihood estimatorsYu, Yi / Feng, Yang et al. | 2013
- 821
-
Evaluation and optimization of frequent, closed and maximal association rule based classificationShaharanee, I. N. M. / Hadzic, F. et al. | 2013
- 845
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Resolution dependence of the maximal information coefficient for noiseless relationshipLee, Shih-Chang / Pang, Ning-Ning / Tzeng, Wen-Jer et al. | 2013
- 853
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Shrinkage estimation of varying covariate effects based on quantile regressionPeng, Limin / Xu, Jinfeng / Kutner, Nancy et al. | 2013
- 871
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Majorization minimization by coordinate descent for concave penalized generalized linear modelsJiang, Dingfeng / Huang, Jian et al. | 2013
- 885
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Another look at linear programming for feature selection via methods of regularizationYao, Yonggang / Lee, Yoonkyung et al. | 2013