Some mixture model-based approaches for the clustering of large databases may be found in Chapter 12 of my joint Wiley book, Finite Mixture model (2000); see http://www.maths.uq.edu.au/~gjm/
Geoff McLachlan Quoting Luca Meyer <[EMAIL PROTECTED]>: > Hello, > > I am searching for working/published papers on twostep clustering method > comparison as well as references about this and other methods for > clustering large datasets. I am already aware of the following material: > > Chiu, T., Fang, D., Chen, J., Wang, Y., and Jeris, C. (2001). A Robust > and Scalable Clustering Algorithm for Mixed Type Attributes in Large > Database Environment. Proceedings of the seventh ACM SIGKDD > international conference on knowledge discovery and data mining, 263. > > Zhang, T., Ramakrishnon, R., and Livny M. (1996). BIRCH: An Efficient > Data Clustering Method for Very Large Datebases. Proceedings of the ACM > SIGMOD Conference on Management of Data, p. 103-114, Montreal, Canada. > > Gore, P. A. Jr. (2000). Cluster analysis. In H. E. A. Tinsley & S. D. > Brown (Eds.), Handbook of applied multivariate statistics and > mathematical modeling (pp. 297-321). San Diego, CA: Academic Press. > > Thank you in advance, > > Mr. Luca Meyer > Consumer research advisor: http://www.lucameyer.com/en/ > Italian Online Research Mailing List: > http://it.groups.yahoo.com/group/ior > Tel: +390122854456 - Fax: +390122854837 - Mobile: + 393355217628 > > - One world, one human race - > ------------------------------------------------- This mail sent through IMP: http://horde.org/imp/
