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Clustering of Count Data Using Generalized Dirichlet Multinomial Distributions
IEEE Transactions on Knowledge and Data Engineering, 2008In this paper, we examine the problem of count data clustering. We analyze this problem using finite mixtures of distributions. The multinomial distribution and the multinomial Dirichlet distribution (MDD) are widely accepted to model count data. We show that these two distributions cannot be the best choice in all the applications, and we propose ...
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A COMPREHENSIVC GENERALIZED MEAN VALUE BASED ON THE DIRICHLET DISTRIBUTION
Quaestiones Mathematicae, 1985ABSTRACT The Hardy, Littlewood, Polya class of power means (wiza 1 + …+wn za n)1/a, including the usual harmonic, geometric, and arithmetic mean values, has been generalized by Bruno deFinetti and B. C. Carlson. These two generalizations are here simultaneously extended to a comprehensive generalized mean value involving an arbitrary continuous ...
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Dirichlet Averages of Generalized Mittag-Leffler Type Function
Fractal and Fractional, 2022Dinesh Kumar, Junesang Choi
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Adaptive Priors for Burstiness Analysis in Topic Modeling with Generalized Dirichlet Distributions
2023 IEEE International Conference on High Performance Computing & Communications, Data Science & Systems, Smart City & Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys), 2023Shadan Ghadimi +3 more
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Generalized Cesàro operators on Dirichlet-type spaces
Acta Mathematica Scientia, 2021Shuan Tang, Jianjun Jin
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Generalized Hilbert operator on the Dirichlet-type space
Applied Mathematics and Computation, 2009Songxiao Li
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Data-free metrics for Dirichlet and generalized Dirichlet mixture-based HMMs – A practical study
Pattern Recognition, 2019Nizar Bouguila, Elise Epaillard
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