Titlebook: Data Analysis; Scientific Modeling Wolfgang Gaul,Otto Opitz,Martin Schader Book 2000 Springer-Verlag Berlin · Heidelberg 2000 Optimization

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Evidence for a Relationship Between Algorithmic Scheme and Shape of Inferred Treesference for sparse and chain-like trees. This phenomenon is explained by the difference between the a priori probability distributions induced by each scheme. An illustration is provided with the Mitochondrial Eve data set (Vigilant et al. 1991), and the practical impacts are discussed.

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Book 2000. It covers new areas with such trendy labels as, e.g., data mining or web mining as well as traditional directions emphazising, e.g., classification or knowledge organization. Leading researchers in data analysis have contributed to this volume and delivered papers on aspects ranging from scientifi

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Average Consensus in Numerical Taxonomy and Some Generalizations and Janowitz k-point inequality. The NP-hardness of finding a consensus dissimilarity for a pyramid (also called an indexed pseudo-hierarchy) is also proved in the case of one of the two possible alternatives for generalized average consensus.

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On a Framework for Dissimilarity Analysisequired or permitted. A variety of benefits are noted. In particular, this framework helps to establish the state-of-the-art and, thereby, guides future research. Potentially, all of this information can be made accessible as an interactive, updateable knowledge base.

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Projections Distinguishing Isolated Groups in Multivariate Data Spacesch such groups are distinguished best. These procedures involve maximization of either a sum of correlation ratios, or a sum of between-groups variances. It is shown that the use of correlation ratios often leads to trivial dimensions corresponding to directions in the configuration along which the data hardly vary.

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Nucleus Basalis Lesions and Recoveryonstrained distance matrices with at most two off-main diagonal positive entries. Several bijections between non-hierarchical clustering structures and order-constrained distance matrices are established.

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Radiation Therapy for Chondrosarcomahe likelihood function, estimation of the mixture model with regressors using three different EM algorithms, estimation of the asymptotic covariance matrix of parameters and testing for the number of mixture components. Finally, a small simulation study demonstrates good results for the two-stage EM algorithm in retrieving the original parameters.

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