Decorrelated nearest shrunken centroids for tensor data
The nearest shrunken centroids (NSC) method is an efficient and accurate classifier.
However, it is incapable of modelling correlation among predictors. Moreover, many …
However, it is incapable of modelling correlation among predictors. Moreover, many …
Topics on High-Dimensional Discriminant Analysis and Mixture Models
J Li - 2024 - search.proquest.com
With rapid advances in modern technology, data with complex structures, such as high
dimensionality, high order, and heterogeneity, are widely collected in scientific research and …
dimensionality, high order, and heterogeneity, are widely collected in scientific research and …
[图书][B] Tensor Data Analysis in High Dimensions
K Min - 2022 - search.proquest.com
A large number of tensor datasets have been appearing in modern scientific research,
attracting much attention to the analysis of such datasets. Tensor data often have high …
attracting much attention to the analysis of such datasets. Tensor data often have high …