约会
发表于 2025-3-28 16:01:06
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
发表于 2025-3-28 19:43:51
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
发表于 2025-3-29 01:01:03
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
发表于 2025-3-29 07:00:24
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interpose
发表于 2025-3-29 10:08:49
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CRANK
发表于 2025-3-29 12:51:16
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
发表于 2025-3-29 19:28:15
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
发表于 2025-3-29 19:51:16
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
发表于 2025-3-30 00:05:47
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Sciatica
发表于 2025-3-30 05:03:04
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