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Linear Dimensionality Reduction : An Approach Based on Scatter Matrices, Hardback Book

Linear Dimensionality Reduction : An Approach Based on Scatter Matrices Hardback

Part of the Wiley Series in Probability and Statistics series

Description

In almost all fields of applications, statisticians are confronted with highly complex data sets with large dimensions.

Dimension reduction methods naturally provide a better understanding of the data and reveal hidden structures.

The book provides tools with a unifying statistical theory to recover hidden structures, latent variables, or latent subspaces in multivariate and dependent data.

Throughout the book, the theory is illustrated with examples on practical data sets.

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£65.00

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