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Publication search results
found 24 matches
- 2013
- Marcelo Keese Albertini
, Rodrigo Fernandes de Mello
:
Energy-based function to evaluate data stream clustering. Adv. Data Anal. Classif. 7(4): 435-464 (2013) - Yuko Araki, Atsushi Kawaguchi, Fumio Yamashita:
Regularized logistic discrimination with basis expansions for the early detection of Alzheimer's disease based on three-dimensional MRI data. Adv. Data Anal. Classif. 7(1): 109-119 (2013) - Anastasios Bellas, Charles Bouveyron, Marie Cottrell, Jérôme Lacaille:
Model-based clustering of high-dimensional data streams with online mixture of probabilistic PCA. Adv. Data Anal. Classif. 7(3): 281-300 (2013) - Hans-Hermann Bock, Salvatore Ingrassia
, Jeroen K. Vermunt
:
Special issue on "Model-based clustering and classification". Adv. Data Anal. Classif. 7(3): 237-240 (2013) - Nema Dean, Rebecca Nugent:
Clustering student skill set profiles in a unit hypercube using mixtures of multivariate betas. Adv. Data Anal. Classif. 7(3): 339-357 (2013) - Wentao Fan
, Nizar Bouguila:
Infinite Dirichlet mixture models learning via expectation propagation. Adv. Data Anal. Classif. 7(4): 465-489 (2013) - Simone G. O. Fiori
:
An isotonic trivariate statistical regression method. Adv. Data Anal. Classif. 7(2): 209-235 (2013) - Ricardo Fraiman
, Badih Ghattas
, Marcela Svarc
:
Interpretable clustering using unsupervised binary trees. Adv. Data Anal. Classif. 7(2): 125-145 (2013) - Sharon X. Lee, Geoffrey J. McLachlan
:
On mixtures of skew normal and skew t-distributions. Adv. Data Anal. Classif. 7(3): 241-266 (2013) - Sijia Liu, Anastasios Matzavinos
, Sunder Sethuraman:
Random walk distances in data clustering and applications. Adv. Data Anal. Classif. 7(1): 83-108 (2013) - Angela Montanari
, Daniela G. Calò:
Model-based clustering of probability density functions. Adv. Data Anal. Classif. 7(3): 301-319 (2013) - Katherine Morris
, Paul D. McNicholas
, Luca Scrucca
:
Dimension reduction for model-based clustering via mixtures of multivariate $$t$$ t -distributions. Adv. Data Anal. Classif. 7(3): 321-338 (2013) - Daniel L. Oberski
, Geert H. van Kollenburg
, Jeroen K. Vermunt
:
A Monte Carlo evaluation of three methods to detect local dependence in binary data latent class models. Adv. Data Anal. Classif. 7(3): 267-279 (2013) - Hamid Parvin
, Behrouz Minaei-Bidgoli
:
A clustering ensemble framework based on elite selection of weighted clusters. Adv. Data Anal. Classif. 7(2): 181-208 (2013) - Susanna Röblitz
, Marcus Weber:
Fuzzy spectral clustering by PCCA+: application to Markov state models and data classification. Adv. Data Anal. Classif. 7(2): 147-179 (2013) - Sanjeena Subedi, Antonio Punzo
, Salvatore Ingrassia
, Paul D. McNicholas
:
Clustering and classification via cluster-weighted factor analyzers. Adv. Data Anal. Classif. 7(1): 5-40 (2013) - Noriyoshi Sukegawa
, Yoshitsugu Yamamoto, Liyuan Zhang:
Lagrangian relaxation and pegging test for the clique partitioning problem. Adv. Data Anal. Classif. 7(4): 363-391 (2013) - Tianyu Tan, Hye Won Suk, Heungsun Hwang, Jooseop Lim:
Functional fuzzy clusterwise regression analysis. Adv. Data Anal. Classif. 7(1): 57-82 (2013) - Matthijs J. Warrens:
Cohen's weighted kappa with additive weights. Adv. Data Anal. Classif. 7(1): 41-55 (2013) - Editorial. Adv. Data Anal. Classif. 7(1): 1-3 (2013)
- Editorial for issue 2/2013. Adv. Data Anal. Classif. 7(2): 121-123 (2013)
- Editorial for issue 4/2013. Adv. Data Anal. Classif. 7(4): 359-361 (2013)
- Liming Yang, Laisheng Wang:
A class of semi-supervised support vector machines by DC programming. Adv. Data Anal. Classif. 7(4): 417-433 (2013) - Faisal Maqbool Zahid, Gerhard Tutz:
Multinomial logit models with implicit variable selection. Adv. Data Anal. Classif. 7(4): 393-416 (2013)
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