Hybrid Gaussian and von Mises Model-Based Clustering
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Concha Bielza | Pedro Larrañaga | Sergio Luengo-Sanchez | C. Bielza | P. Larrañaga | Sergio Luengo-Sanchez
[1] 김경민,et al. Finite mixture models and model-based clustering , 2017 .
[2] Paul D. McNicholas,et al. Model-Based Clustering , 2016, Journal of Classification.
[3] Kurt Hornik,et al. movMF: An R Package for Fitting Mixtures of von Mises-Fisher Distributions , 2014 .
[4] Concha Bielza,et al. Directional naive Bayes classifiers , 2015, Pattern Analysis and Applications.
[5] Mohd Talib Latif,et al. Fitting a mixture of von Mises distributions in order to model data on wind direction in Peninsular Malaysia , 2013 .
[6] Rafael Yuste,et al. Age-based comparison of human dendritic spine structure using complete three-dimensional reconstructions. , 2013, Cerebral cortex.
[7] Jeffrey J. Love,et al. Insignificant solar‐terrestrial triggering of earthquakes , 2013 .
[8] Kanti V. Mardia,et al. Mixtures of concentrated multivariate sine distributions with applications to bioinformatics , 2012 .
[9] M. Butala,et al. On the reported ionospheric precursor of the 1999 Hector Mine, California earthquake , 2012 .
[10] S. R. Jammalamadaka,et al. Directional Statistics, I , 2011 .
[11] Simone Calderara,et al. Mixtures of von Mises Distributions for People Trajectory Shape Analysis , 2011, IEEE Transactions on Circuits and Systems for Video Technology.
[12] Xu Qin,et al. A New Circular Distribution and Its Application to Wind Data , 2010 .
[13] On the reported magnetic precursor of the 1993 Guam earthquake , 2009 .
[14] Nir Friedman,et al. Probabilistic Graphical Models - Principles and Techniques , 2009 .
[15] J. A. Carta,et al. A review of wind speed probability distributions used in wind energy analysis: Case studies in the Canary Islands , 2009 .
[16] M. Johnston,et al. On the reported magnetic precursor of the 1989 Loma Prieta earthquake , 2009 .
[17] Kanti V. Mardia,et al. A multivariate von mises distribution with applications to bioinformatics , 2008 .
[18] N. Spruston. Pyramidal neurons: dendritic structure and synaptic integration , 2008, Nature Reviews Neuroscience.
[19] Simone Calderara,et al. Detection of abnormal behaviors using a mixture of Von Mises distributions , 2007, 2007 IEEE Conference on Advanced Video and Signal Based Surveillance.
[20] S. R. Jammalamadaka,et al. The generalized von Mises distribution , 2007 .
[21] K. Mardia,et al. Protein Bioinformatics and Mixtures of Bivariate von Mises Distributions for Angular Data , 2007, Biometrics.
[22] A. Zamilpa,et al. Clinical effects produced by a standardized herbal medicinal product of Hibiscus sabdariffa on patients with hypertension. A randomized, double-blind, lisinopril-controlled clinical trial. , 2006, Planta medica.
[23] Inderjit S. Dhillon,et al. Clustering on the Unit Hypersphere using von Mises-Fisher Distributions , 2005, J. Mach. Learn. Res..
[24] David Maxwell Chickering,et al. Learning Bayesian Networks: The Combination of Knowledge and Statistical Data , 1994, Machine Learning.
[25] G. Cooper,et al. A Bayesian Method for the Induction of Probabilistic Networks from Data , 2004, Machine-mediated learning.
[26] Alan Peters,et al. THE SMALL PYRAMIDAL NEURON OF THE RAT CEREBRAL CORTEX , 1968, Zeitschrift für Zellforschung und Mikroskopische Anatomie.
[27] Ian T. Jolliffe,et al. Fitting mixtures of von Mises distributions: a case study involving sudden infant death syndrome , 2003, Comput. Stat. Data Anal..
[28] Shi Zhong,et al. A Comparative Study of Generative Models for Document Clustering , 2003 .
[29] K. Svoboda,et al. Structure and function of dendritic spines. , 2002, Annual review of physiology.
[30] Taku Komura,et al. Topology matching for fully automatic similarity estimation of 3D shapes , 2001, SIGGRAPH.
[31] Pedro Larrañaga,et al. An improved Bayesian structural EM algorithm for learning Bayesian networks for clustering , 2000, Pattern Recognit. Lett..
[32] David G. Stork,et al. Pattern Classification (2nd ed.) , 1999 .
[33] B. Jacobs,et al. Life‐span dendritic and spine changes in areas 10 and 18 of human cortex: A quantitative golgi study , 1997, The Journal of comparative neurology.
[34] Nir Friedman,et al. Learning Belief Networks in the Presence of Missing Values and Hidden Variables , 1997, ICML.
[35] Judea Pearl,et al. Probabilistic reasoning in intelligent systems - networks of plausible inference , 1991, Morgan Kaufmann series in representation and reasoning.
[36] D. N. Geary. Mixture Models: Inference and Applications to Clustering , 1989 .
[37] A. F. Smith,et al. Statistical analysis of finite mixture distributions , 1986 .
[38] E. Batschelet. Circular statistics in biology , 1981 .
[39] N. Fisher,et al. The BIAS of the maximum likelihood estimators of the von mises-fisher concentration parameters , 1981 .
[40] G. Schwarz. Estimating the Dimension of a Model , 1978 .
[41] Kanti V. Mardia,et al. A Model for Cylindrical Variables with Applications , 1978 .
[42] D. Rubin,et al. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .
[43] H. Akaike. A new look at the statistical model identification , 1974 .
[44] E. Batschelet,et al. Angular-linear correlation coefficient for rhythmometry and circannually changing human birth rates at different geographic latitudes. , 1973, International journal of chronobiology.
[45] A. Peters,et al. The small pyramidal neuron of the rat cerebral cortex. The perikaryon, dendrites and spines. , 1970, The American journal of anatomy.