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

约会

Two-mode Clustering with Genetic Algorithmslements of a cluster are more similar than elements of different clusters. Since the use of genetic algorithms was very successfull for one-mode clustering, one may assume that this will also be true for two-mode clustering problems. In the following paper a genetic algorithm is proposed which takes

孤独无助

Exact Tests for the Comparison of Binary Data Structures in Timed to form a stationary time series. A second stationary binary sequence is observed independently of the first one. Four exact tests are proposed for the comparison of the two sequences. The four tests differ with respect to the parameters which are compared and the assumed dependence structure. Sim

Explosive

Connected Maximum Split Clustering of Ladder Graphsepends on the graphs and on the objective function. In particular the problem of maximizing the split of a connected partition is solvable in polynomial time on complete graphs (.) and trees (.), and is NP-hard on grid graphs (., .). In this paper an algorithm that solves in .(.. log .) time the Max

用手捏

interpose

CRANK

Discrete and Continuous Models for Two-way Dataition of the objects and the best partition of the variables, according to a least-squares loss function. In addition, the proposed methodology allows to detect simultaneously, factors describing classes of variables and centroids characterizing classes of objects..The continuous and discrete models

insular

Towards Feature Fusion — A Classifier on the Basis of Automatically Generated Significant Contour Seh a method consists of two main parts: Generating automatically the characteristics of object classes from known samples of objects and classifying unknown objects with the help of the learnt characteristics. The presented method is based on our work introduced in (.) where important contour section

旁观者

Convex Discriminant Analysis Tools for Non Convex Pattern Recognitions paper is to propose a solution based on convex and discriminant analysis tools, even when non convex domains are considered. Simulations are done and comparisons are made with respect to a natural candidate for estimation of non convex bodies, based on the Voronoi tessellation. A part of this pape

弯弯曲曲

Sciatica