%0 Journal Article %1 binder197801 %A Binder, D. A. %D 1978 %J Biometrika %K analysis bayesian cluster decision exponential family groups matrix metrics number of similarity theory unknown variable %N 1 %P 31--38 %T Bayesian cluster analysis %U http://biomet.oxfordjournals.org/cgi/reprint/65/1/31.pdf %V 65 %X A parametric model for partitioning individuals into mutually exclusive groups is given. A Bayesian analysis is applied and a loss structure imposed. A model-dependent definition of a similarity matrix is proposed and estimates based on this matrix are justified in a decision-theoretic framework. Some existing cluster analysis techniques are derived as special limiting cases. The results of the procedure applied to two data sets are compared with other analyses.

@article{binder197801, abstract = {A parametric model for partitioning individuals into mutually exclusive groups is given. A Bayesian analysis is applied and a loss structure imposed. A model-dependent definition of a similarity matrix is proposed and estimates based on this matrix are justified in a decision-theoretic framework. Some existing cluster analysis techniques are derived as special limiting cases. The results of the procedure applied to two data sets are compared with other analyses.}, added-at = {2009-08-12T14:31:59.000+0200}, author = {Binder, D. A.}, biburl = {https://www.bibsonomy.org/bibtex/2f74c54df4204d6138233ce791ba9a0ef/neongod}, interhash = {ee8f1ff7f0365d505c39ee38f5156a66}, intrahash = {f74c54df4204d6138233ce791ba9a0ef}, journal = {Biometrika}, keywords = {analysis bayesian cluster decision exponential family groups matrix metrics number of similarity theory unknown variable}, number = 1, pages = {31--38}, timestamp = {2009-08-12T14:31:59.000+0200}, title = {Bayesian cluster analysis}, url = {http://biomet.oxfordjournals.org/cgi/reprint/65/1/31.pdf}, volume = 65, year = 1978 }