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Titlebook: Data Science, Learning by Latent Structures, and Knowledge Discovery; Berthold Lausen,Sabine Krolak-Schwerdt,Matthias B? Conference procee

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發(fā)表于 2025-3-23 13:34:46 | 只看該作者
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發(fā)表于 2025-3-23 14:44:56 | 只看該作者
https://doi.org/10.1007/978-3-030-31140-7. It permits to define local inertia and local autocorrelation relatively to arbitrary networks. In particular, free partitioned exchanges amount in defining a categorical variable (hard membership), together with canonical spectral scores, identical to Fisher’s discriminant functions. One demonstra
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發(fā)表于 2025-3-23 18:33:47 | 只看該作者
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發(fā)表于 2025-3-23 22:47:35 | 只看該作者
Ferry Service Network Design for Kiel fjord which have a common neighbor. In theoretical random graph models, this tendency is described by the clustering coefficient being bounded away from zero. Complex networks also have power-law degree distributions and short average distances (small world phenomena). These are desirable features of ran
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發(fā)表于 2025-3-24 04:18:15 | 只看該作者
Jesica de Armas,Helena Ramalhinho,Stefan Vo? similarity/dissimilarity measures: a similarity measure between concepts (elements) of a lattice and a dissimilarity measure between concept lattices defined on the same set of objects and attributes. Both measures are based on the overhanging relation previously introduced by the author, which are
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發(fā)表于 2025-3-24 10:27:54 | 只看該作者
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