PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Block clustering via the block GEM and two-way EM algorithms
Mohamed Nadif and Gérard Govaert
In: The third ACS/IEEE International conference on Computer Systems and Applications, 03-06 jan 2005, Cairo, Egypt.


When the data consists of a set of objects described by a set of variables, recently, we have proposed a new mixture model which takes into account the block clustering problem on the both sets. In considering our model under the maximum likelihood, we compare a block Generalized EM proposed from our model and the EM algorithm applied on the both sets separately.

EPrint Type:Conference or Workshop Item (Talk)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Computational, Information-Theoretic Learning with Statistics
ID Code:1949
Deposited By:Gérard Govaert
Deposited On:30 December 2005