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Publication search results
found 47 matches
- 2019
- Hiroyasu Abe, Hiroshi Yadohisa:
Orthogonal nonnegative matrix tri-factorization based on Tweedie distributions. Adv. Data Anal. Classif. 13(4): 825-853 (2019) - Zakariya Yahya Algamal, Muhammad Hisyam Lee:
A two-stage sparse logistic regression for optimal gene selection in high-dimensional microarray data classification. Adv. Data Anal. Classif. 13(3): 753-771 (2019) - Shuji Ando, Kouji Tahata, Sadao Tomizawa:
A bivariate index vector for measuring departure from double symmetry in square contingency tables. Adv. Data Anal. Classif. 13(2): 519-529 (2019) - Amparo Baíllo, Javier Cárcamo, Konstantin Getman:
New distance measures for classifying X-ray astronomy data into stellar classes. Adv. Data Anal. Classif. 13(2): 531-557 (2019) - Sandra Benítez-Peña, Rafael Blanquero, Emilio Carrizosa, Pepa Ramírez-Cobo:
On support vector machines under a multiple-cost scenario. Adv. Data Anal. Classif. 13(3): 663-682 (2019) - Moritz Berger, Thomas Welchowski, Steffen Schmitz-Valckenberg, Matthias Schmid:
A classification tree approach for the modeling of competing risks in discrete time. Adv. Data Anal. Classif. 13(4): 965-990 (2019) - José R. Berrendero, Javier Cárcamo:
Linear components of quadratic classifiers. Adv. Data Anal. Classif. 13(2): 347-377 (2019) - Christophe Biernacki, Alexandre Lourme:
Unifying data units and models in (co-)clustering. Adv. Data Anal. Classif. 13(1): 7-31 (2019) - Sárka Brodinová, Peter Filzmoser, Thomas Ortner, Christian Breiteneder, Maia Rohm:
Robust and sparse k-means clustering for high-dimensional data. Adv. Data Anal. Classif. 13(4): 905-932 (2019) - Christian Carmona, Luis E. Nieto-Barajas, Antonio Canale:
Model-based approach for household clustering with mixed scale variables. Adv. Data Anal. Classif. 13(2): 559-583 (2019) - Gilles Celeux, Cathy Maugis-Rabusseau, Mohammed Sedki:
Variable selection in model-based clustering and discriminant analysis with a regularization approach. Adv. Data Anal. Classif. 13(1): 259-278 (2019) - José E. Chacón:
Mixture model modal clustering. Adv. Data Anal. Classif. 13(2): 379-404 (2019) - Hosik Choi, Seokho Lee:
Convex clustering for binary data. Adv. Data Anal. Classif. 13(4): 991-1018 (2019) - William Cipolli III, Timothy Hanson:
Supervised learning via smoothed Polya trees. Adv. Data Anal. Classif. 13(4): 877-904 (2019) - Claudio Conversano, Massimo Cannas, Francesco Mola, Emiliano Sironi:
Random effects clustering in multilevel modeling: choosing a proper partition. Adv. Data Anal. Classif. 13(1): 279-301 (2019) - Daniel Fernández, Richard Arnold, Shirley Pledger, Ivy Liu, Roy Costilla:
Finite mixture biclustering of discrete type multivariate data. Adv. Data Anal. Classif. 13(1): 117-143 (2019) - Abby Flynt, Nema Dean, Rebecca Nugent:
sARI: a soft agreement measure for class partitions incorporating assignment probabilities. Adv. Data Anal. Classif. 13(1): 303-323 (2019) - Sylvia Frühwirth-Schnatter, Salvatore Ingrassia, Agustín Mayo-Íscar:
Special issue on "Advances on model-based clustering and classification" - Preface by the Guest Editors. Adv. Data Anal. Classif. 13(1): 1-5 (2019) - Sylvia Frühwirth-Schnatter, Gertraud Malsiner-Walli:
From here to infinity: sparse finite versus Dirichlet process mixtures in model-based clustering. Adv. Data Anal. Classif. 13(1): 33-64 (2019) - David Hallac, Peter Nystrup, Stephen P. Boyd:
Greedy Gaussian segmentation of multivariate time series. Adv. Data Anal. Classif. 13(3): 727-751 (2019) - Christian Hennig, Willi Sauerbrei:
Exploration of the variability of variable selection based on distances between bootstrap sample results. Adv. Data Anal. Classif. 13(4): 933-963 (2019) - Nam-Hwui Kim, Ryan P. Browne:
Subspace clustering for the finite mixture of generalized hyperbolic distributions. Adv. Data Anal. Classif. 13(3): 641-661 (2019) - Waley Wei Jie Liang, Herbert K. H. Lee:
Bayesian nonstationary Gaussian process models via treed process convolutions. Adv. Data Anal. Classif. 13(3): 797-818 (2019) - Sébastien Loisel, Yoshio Takane:
Comparisons among several methods for handling missing data in principal component analysis (PCA). Adv. Data Anal. Classif. 13(2): 495-518 (2019) - Nicola Loperfido:
Finite mixtures, projection pursuit and tensor rank: a triangulation. Adv. Data Anal. Classif. 13(1): 145-173 (2019) - Alban Mbina Mbina, Guy Martial Nkiet, Fulgence Eyi Obiang:
Variable selection in discriminant analysis for mixed continuous-binary variables and several groups. Adv. Data Anal. Classif. 13(3): 773-795 (2019) - Volodymyr Melnykov, Xuwen Zhu:
Studying crime trends in the USA over the years 2000-2012. Adv. Data Anal. Classif. 13(1): 325-341 (2019) - Edoardo Otranto, Massimo Mucciardi:
Clustering space-time series: FSTAR as a flexible STAR approach. Adv. Data Anal. Classif. 13(1): 175-199 (2019) - Gonzalo Perez-de-la-Cruz, Guillermina Eslava-Gomez:
Discriminant analysis for discrete variables derived from a tree-structured graphical model. Adv. Data Anal. Classif. 13(4): 855-876 (2019) - Antonella Plaia, Mariangela Sciandra:
Weighted distance-based trees for ranking data. Adv. Data Anal. Classif. 13(2): 427-444 (2019)
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