Comparison study of orthonormal representations of functional data in classification

作者：

Highlights：

• Explain why a functional sample can be seen as a point in corresponding Euclidean space.

• Answer how to select an orthonormal basis for a given functional data type.

• Discover orthogonal representation is better than non-orthogonal representation as per classification performance.

摘要

•Explain why a functional sample can be seen as a point in corresponding Euclidean space.•Answer how to select an orthonormal basis for a given functional data type.•Discover orthogonal representation is better than non-orthogonal representation as per classification performance.

论文关键词：Functional data,Orthonormal representation,Orthonormal basis,Classification

论文评审过程：Received 23 June 2015, Revised 20 November 2015, Accepted 25 December 2015, Available online 11 January 2016, Version of Record 20 February 2016.

论文官网地址：https://doi.org/10.1016/j.knosys.2015.12.016