A “Density-Based” Algorithm for Cluster Analysis Using Species Sampling Gaussian Mixture Models

Author： Argiento Raffaele   Cremaschi Andrea   Guglielmi Alessandra  

Publisher： Taylor & Francis Ltd

ISSN： 1061-8600

Source： Journal of Computational and Graphical Statistics, Vol.23, Iss.4, 2014-10, pp. : 1126-1142

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Related content

Cluster analysis via normal mixture models

By  

Bulletin of the Australian Mathematical Society, Vol. 32, Iss. 3, 1985-12 ,pp. : 473-475

Cambridge University Press

Access to resources Recommend Favorite

A modified EM algorithm for mixture models based on Bregman divergence

By Fujimoto Yu   Murata Noboru  

Annals of the Institute of Statistical Mathematics, Vol. 59, Iss. 1, 2007-03 ,pp. : 3-25

Springer Publishing Company

Access to resources Recommend Favorite

An ℓ1-oracle inequality for the Lasso in finite mixture Gaussian regression models

By Meynet Caroline  

ESAIM: Probability and Statistics, Vol. 17, Iss. issue, 2013-11 ,pp. : 650-671

Edp Sciences

Access to resources Recommend Favorite

Nonlinear and Non-Gaussian State Space Modeling Using Sampling Techniques

By Tanizaki H.  

Annals of the Institute of Statistical Mathematics, Vol. 53, Iss. 1, 2001-03 ,pp. : 63-81

Springer Publishing Company

Access to resources Recommend Favorite

Text Clustering Algorithm Based on Random Cluster Core

By  

ITM Web of conferences, Vol. 7, Iss. issue, 2016-11 ,pp. : 05001-05001

Edp Sciences

Access to resources Recommend Favorite