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Truncated Compound Normal with Gamma Mixture Model for Mixture Density Estimation

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2017
S. Viziananda Row, K. Srinivasa Rao, P. Srinivasa Rao

Viziananda S Row, Srinivasa K Rao and Srinivasa P Rao. Truncated Compound Normal with Gamma Mixture Model for Mixture Density Estimation. International Journal of Computer Applications 157(3):6-12, January 2017. BibTeX

	author = {S. Viziananda Row and K. Srinivasa Rao and P. Srinivasa Rao},
	title = {Truncated Compound Normal with Gamma Mixture Model for Mixture Density Estimation},
	journal = {International Journal of Computer Applications},
	issue_date = {January 2017},
	volume = {157},
	number = {3},
	month = {Jan},
	year = {2017},
	issn = {0975-8887},
	pages = {6-12},
	numpages = {7},
	url = {},
	doi = {10.5120/ijca2017912643},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}


In this paper, the truncated compound normal with gamma distribution model is formally presented and its density function has been derived for defining a mixture model(TCNGM) based on this as an extension work to the proposed compound normal with gamma mixture(CNGM) model introduced in our earlier work for image segmentation. Update equations for this model have been derived in the context of maximum likelihood estimation(MLE) procedure under Expectation Maximization(EM) framework.


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