Titlebook: Classification, Automation, and New Media; Proceedings of the 2 Wolfgang Gaul,Gunter Ritter Conference proceedings 2002 Springer-Verlag Ber

cumulative

AMOR

Discrete and Continuous Models for Two-way Data classification of the objects; then new cluster centroids are computed and the partition of the objects is given by solving an assignment problem. At each step of the alternating least-squares algorithm the objective function is not increased, thus the algorithm converges to at least a local optima

Host142

断断续续

Clustering and Modelsicant criteria. With Gaussian clustering models, for instance, the parametrization of the variance matrix of a cluster in terms of its eigenvalue decomposition allows to propose many general clustering criteria from the simplest (k-means criterion) to the most complex. Mixture models can also deal w

朦胧

搜寻

艺术

杀菌剂

比目鱼

Joint Non-symmetrical Correspondence Analysis with Ordered Categoriesordinal categorical variables, the main aim is to preserve the ordinal compliance of categories by using a monotone function and optimal scaling for the first axis and Partial Least Squares for the remaining ones.

地壳

Modern Data Analysis: A Clash of Paradigmsd computing science. These two disciplines have different emphases, different strengths, and different weaknesses. Statistical data analysis has the merit of a clear and principled theoretical base, but this has been earned at the cost of restricting the class of problems to which the methods may be