Results 51 to 60 of about 2,744,930 (320)
Comparison of the digital economy development parameters in the EU countries in the context of bridging the digital divide [PDF]
Problems and Perspectives in Management, 2020 The widespread use of information and communication technologies and subsequent transformations have led to the formation of a digital economy (DE). The European Union, as an international organization, has become the subject of building such an economy,
Vladimir Bilozubenko +4 more
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, 2012 Factorial clustering methods have been developed in recent years thanks to the improving of computational power. These methods perform a linear transformation of data and a clustering on transformed data optimizing a common criterion.
A. Ben-Israel +6 more
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The role of human factors in stereotyping behavior and perception of digital library users: A robust clustering approach [PDF]
, 2007 To deliver effective personalization for digital library users, it is necessary to identify which human factors are most relevant in determining the behavior and perception of these users.
Chen, SY +3 more
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Statistical Properties of Convex Clustering
, 2015 In this manuscript, we study the statistical properties of convex clustering. We establish that convex clustering is closely related to single linkage hierarchical clustering and $k$-means clustering.
Tan, Kean Ming, Witten, Daniela
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Possibilistic and fuzzy clustering methods for robust analysis of non-precise data [PDF]
, 2017 This work focuses on robust clustering of data affected by imprecision. The imprecision is managed in terms of fuzzy sets. The clustering process is based on the fuzzy and possibilistic approaches.
Ferraro, MARIA BRIGIDA, Giordani, Paolo
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Polytetrahedral Clusters [PDF]
Physical Review Letters, 2001 Physical Review ...
Doye, J, Wales, D
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Bayesian hierarchical clustering for studying cancer gene expression data with unknown statistics [PDF]
, 2013 Clustering analysis is an important tool in studying gene expression data. The Bayesian hierarchical clustering (BHC) algorithm can automatically infer the number of clusters and uses Bayesian model selection to improve clustering quality. In this paper,
A Su +39 more
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Tangling clustering instability for small particles in temperature stratified turbulence
, 2013 We study particle clustering in a temperature stratified turbulence with small finite correlation time. It is shown that the temperature stratified turbulence strongly increases the degree of compressibility of particle velocity field.
Elperin, Tov +3 more
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Clustering by Compression [PDF]
IEEE Transactions on Information Theory, 2003 We present a new method for clustering based on compression. The method doesn't use subject-specific features or background knowledge, and works as follows: First, we determine a universal similarity distance, the normalized compression distance or NCD, computed from the lengths of compressed data files (singly and in pairwise concatenation).
Xin Li +4 more
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THE CHARTS OF CLUSTERIZATION AND NON-EQUILIBRIUM CRYSTALLIZATION OF ALLOYS OF EUTECTICUM TYPE [PDF]
Физико-химические аспекты изучения кластеров, наноструктур и наноматериалов, 2013 The charts of clusterization of liquid and its subsequent crystallization are obtained cooling alloys with a limit solubility and without mutual solubility of components. It is shown that the transition from a binary solution of liquid to the solid phase
V.D. Aleksandrov, O.A. Pokyntelytsia
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