A subspace recursive and selective feature transformation method for classification tasks

A subspace recursive and selective feature transformation method for classification tasks

Abstract Background Practitioners and researchers often found the intrinsic representations of high-dimensional problems has much fewer independent variables. However such intrinsic structure may not be easily discovered due to noises and other factors. A supervised transformation scheme RST is prop...

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Bibliographic Details
Main Authors: Xuan Zhao, Steven Sheng-Uei Guan
Format: Article
Language:English
Published: BMC 2017-12-01
Series:Big Data Analytics
Subjects:
Machine learning
Feature transformation
Feature selection
Classification
Subspace learning
Online Access:http://link.springer.com/article/10.1186/s41044-017-0025-5

Internet

http://link.springer.com/article/10.1186/s41044-017-0025-5

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