TY - GEN
T1 - Likelihood based hierarchical clustering and network topology identification
AU - Castro, R.M.
AU - Nowak, R.
PY - 2003
Y1 - 2003
N2 - This paper develops a new method for hierarchical clustering based on a generative dendritic cluster model. The objects are viewed as being generated through a tree structured refinement process. In certain problems, this generative model naturally captures the physical mechanisms responsible for relationships among objects, for example, in genetic studies and network topology identification. The networking problem is examined in some detail, to illustrate the new clustering method. In general, the generative model is not representative of actual physical mechanisms, but it nonetheless provides a means for dealing with errors in the similarity matrix, simultaneously promoting two desirable features in clustering: intra-class similarity and inter-class dissimilarity.
AB - This paper develops a new method for hierarchical clustering based on a generative dendritic cluster model. The objects are viewed as being generated through a tree structured refinement process. In certain problems, this generative model naturally captures the physical mechanisms responsible for relationships among objects, for example, in genetic studies and network topology identification. The networking problem is examined in some detail, to illustrate the new clustering method. In general, the generative model is not representative of actual physical mechanisms, but it nonetheless provides a means for dealing with errors in the similarity matrix, simultaneously promoting two desirable features in clustering: intra-class similarity and inter-class dissimilarity.
U2 - 10.1007/978-3-540-45063-4_8
DO - 10.1007/978-3-540-45063-4_8
M3 - Conference contribution
SN - 3-540-40498-8
T3 - Lecture Notes in Computer Science
SP - 113
EP - 129
BT - Proceedings of the 4th International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR 2003), 7-9 July 2003, Lisbon, Portugal
A2 - Rangarajan, A.
A2 - Figueiredo, M.A.T.
A2 - Zerubia, J.
PB - Springer
CY - Berlin
ER -