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Titlebook: Data Science; Innovative Developme Francesco Palumbo,Angela Montanari,Maurizio Vichi Conference proceedings 2017 Springer International Pub

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https://doi.org/10.1007/978-1-4471-4008-5s. When the dimension of the feature vector is very large relative to the number of individuals, it presents formidable challenges to construct a discriminant rule (classifier) for assigning an unclassified individual to one of the known classes. One way to handle this high-dimensional problem is to
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Raghavan Narasimhan,Yves Nievergeltr matrices. The most popular are the maximum membership approximation and approximations based on .-level cuts of .. Because they create crisp matrices with membership grades either zero or one, most of the detailed information from . is lost. Two methods of gradual non-crisp approximations of . bas
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Quelques Propriétés du Prédual de H∞tion of key pollutants, a combined methodology is proposed: firstly, to obtain the ambient and background levels of air pollution from every selected pollutant, time series obtained from the AQMN were modeled with hidden Markov models; secondly, to study the grouping of these monitoring sites accord
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Quelques Propriétés du Prédual de H∞. However, it is important to identify gene groups that manifest similar expression profiles and are activated by similar conditions. . is a new microarray data clustering algorithm performed in two steps. The first one detects cluster modes representing regions of high density observations in the r
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Mikoto Okumura,Katsuhide Fujita,Takayuki Itody is to explore how cultural practices in contemporary Japan are classified, and to assess how social class and gender are related to the difference in the constellation of cultural taste. Nonhierarchical asymmetric cluster analysis is used to gain better understanding the underlying structure of c
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