Titlebook: Data Analysis, Classification and the Forward Search; Proceedings of the M Sergio Zani,Andrea Cerioli,Maurizio Vichi Conference proceedings

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书目名称Data Analysis, Classification and the Forward Search影响因子(影响力)




书目名称Data Analysis, Classification and the Forward Search影响因子(影响力)学科排名




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书目名称Data Analysis, Classification and the Forward Search网络公开度学科排名




书目名称Data Analysis, Classification and the Forward Search被引频次




书目名称Data Analysis, Classification and the Forward Search被引频次学科排名




书目名称Data Analysis, Classification and the Forward Search年度引用




书目名称Data Analysis, Classification and the Forward Search年度引用学科排名




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书目名称Data Analysis, Classification and the Forward Search读者反馈学科排名

Acclaim

MONY

Coeval

Genetic Algorithms-based Approaches for Clustering Time Seriesare considered for clustering (the number of clusters is assumed unknown). Both algorithms require a model to be fitted to each time series to obtain model parameters and residuals. These methods are applied to a real data set concerned with the visitors flow recorded, in state owned museums with paid admission, in the Lazio region of Italy.

不能妥协

Sequential Decisional Discriminant Analysisentire period, can be of particular benefit to the classifying decision on supplementary statistical units, of which we only have partial information about. An analysis using real data is here described using this method.

fatuity

Regularized Sliced Inverse Regression with Applications in Classification introduction of a shrinkage parameter allows the method to be applied in under-resolution problems, such as those found in gene expression microarray data. The REGSIR method is illustrated on two different classification problems using real data sets.

fatuity

蚀刻术

拥护者

https://doi.org/10.1007/978-3-030-30081-4imate the structural mean of a sample of curves. With the suggested methodology we analyze series of daily measurements of some air pollutants in Emilia-Romagna (a region in Northern Italy). We compare results with those obtained with other flexible and non parametric approaches used in functional data analysis.

阻挠

Estimation of the Structural Mean of a Sample of Curves by Dynamic Time Warpingimate the structural mean of a sample of curves. With the suggested methodology we analyze series of daily measurements of some air pollutants in Emilia-Romagna (a region in Northern Italy). We compare results with those obtained with other flexible and non parametric approaches used in functional data analysis.