Document clustering via dirichlet process mixture model with feature selection

Proceedings of the Fourth Symposium on Information and Communication Technology - SoICT '13 ◽

Document clustering using dirichlet process mixture model of von Mises-Fisher distributions

10.1145/2542050.2542079 ◽

2013 ◽

Cited By ~ 4

Author(s):

Nguyen Kim Anh ◽

Nguyen The Tam ◽

Ngo Van Linh

Keyword(s):

Mixture Model ◽

Dirichlet Process ◽

Document Clustering ◽

Von Mises

L 2 Normalized Data Clustering Through the Dirichlet Process Mixture Model of von Mises Distributions with Localized Feature Selection

Unsupervised and Semi-Supervised Learning - Mixture Models and Applications ◽

10.1007/978-3-030-23876-6_6 ◽

2019 ◽

pp. 109-123

Author(s):

Wentao Fan ◽

Nizar Bouguila ◽

Yewang Chen ◽

Ziyi Chen

Keyword(s):

Feature Selection ◽

Mixture Model ◽

Data Clustering ◽

Dirichlet Process ◽

Von Mises

Dirichlet Process Mixture Model for Document Clustering with Feature Partition

IEEE Transactions on Knowledge and Data Engineering ◽

10.1109/tkde.2012.27 ◽

2013 ◽

Vol 25 (8) ◽

pp. 1748-1759 ◽

Cited By ~ 20

Author(s):

Ruizhang Huang ◽

Guan Yu ◽

Zhaojun Wang ◽

Jun Zhang ◽

Liangxing Shi

Keyword(s):

Mixture Model ◽

Dirichlet Process ◽

Document Clustering ◽

Dynamic Dirichlet process mixture model for identifying voting coalitions in the United Nations General Assembly human rights roll call votes

Journal of Applied Statistics ◽

10.1080/02664763.2021.1931820 ◽

2021 ◽

pp. 1-20

Author(s):

Qiushi Yu

Keyword(s):

Human Rights ◽

United Nations ◽

Mixture Model ◽

Dirichlet Process ◽

General Assembly ◽

Roll Call ◽

United Nations General ◽

United Nations General Assembly

Outlier detection in traffic data based on the Dirichlet process mixture model

IET Intelligent Transport Systems ◽

10.1049/iet-its.2014.0063 ◽

2015 ◽

Vol 9 (7) ◽

pp. 773-781 ◽

Cited By ~ 12

Author(s):

Henry Y.T. Ngan ◽

Anthony G.O. Yeh ◽

Nelson H.C. Yung

Keyword(s):

Outlier Detection ◽

Mixture Model ◽

Dirichlet Process ◽

Traffic Data ◽

Clustering disaggregated load profiles using a Dirichlet process mixture model

Energy Conversion and Management ◽

10.1016/j.enconman.2014.12.080 ◽

2015 ◽

Vol 92 ◽

pp. 507-516 ◽

Cited By ~ 27

Author(s):

Ramon Granell ◽

Colin J. Axon ◽

David C.H. Wallom

Keyword(s):

Mixture Model ◽

Dirichlet Process ◽

Unsupervised Tracking With the Doubly Stochastic Dirichlet Process Mixture Model

IEEE Transactions on Intelligent Transportation Systems ◽

10.1109/tits.2016.2518212 ◽

2016 ◽

Vol 17 (9) ◽

pp. 2594-2599 ◽

Cited By ~ 6

Author(s):

Xing Sun ◽

Nelson H. C. Yung ◽

Edmund Y. Lam

Keyword(s):

Mixture Model ◽

Dirichlet Process ◽

Doubly Stochastic

Posterior convergence rate of a class of Dirichlet process mixture model for compositional data

Statistics & Probability Letters ◽

10.1016/j.spl.2016.09.008 ◽

2017 ◽

Vol 120 ◽

pp. 45-51

Author(s):

Andrés F. Barrientos ◽

Alejandro Jara ◽

Claudia Wehrhahn

Keyword(s):

Convergence Rate ◽

Mixture Model ◽

Dirichlet Process ◽

Compositional Data ◽

Analysis of the Maximal a Posteriori Partition in the Gaussian Dirichlet Process Mixture Model

Bayesian Analysis ◽

10.1214/18-ba1114 ◽

2019 ◽

Vol 14 (2) ◽

pp. 477-494

Author(s):

Łukasz Rajkowski

Keyword(s):

Mixture Model ◽

Dirichlet Process ◽

A Posteriori ◽

A Gibbs Sampler for a Hierarchical Dirichlet Process Mixture Model

10.31234/osf.io/ebzt8 ◽

2019 ◽

Cited By ~ 1

Author(s):

Mark Andrews

Keyword(s):

Mixture Model ◽

Gibbs Sampler ◽

Dirichlet Process ◽

Hierarchical Dirichlet Process ◽

Multinomial Data

A Gibbs sampler for the hierarchical Dirichlet process mixture model (HDPMM) when used with multinomial data.