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A Determining Degree-Based Method for Classification Problems with Interval-Valued Attributes

A Determining Degree-Based Method for Classification Problems with Interval-Valued Attributes The determining degree-based classification methods, new types of classification methods built in the frame of factor space theory, mainly include factorial analysis, improved factorial analysis and set subtraction and rotation calculation (S&R). This paper first compares the three methods to present a comprehensive understanding of them and claims that whether to reuse dominant factors and to use synthetic partitioning are the main differences between factorial analysis and S&R. Furthermore, this paper introduces S&R definitively and concisely through an example. Based on the investigation, we propose a novel method for classification problems with interval-valued attributes that uses a determining degree to discretize interval values, and takes S&R as one of its steps. Experimental results show that this method is effective and reasonable. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Annals of Data Science Springer Journals

A Determining Degree-Based Method for Classification Problems with Interval-Valued Attributes

Xu, Xueyan; Yu, Fusheng; Wan, Runjun
Annals of Data Science , Volume 10 (2) – Apr 1, 2023
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References (27)

Publisher
Springer Journals
Copyright
Copyright © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022
ISSN
2198-5804
eISSN
2198-5812
DOI
10.1007/s40745-022-00387-8
Publisher site
See Article on Publisher Site

Abstract

The determining degree-based classification methods, new types of classification methods built in the frame of factor space theory, mainly include factorial analysis, improved factorial analysis and set subtraction and rotation calculation (S&R). This paper first compares the three methods to present a comprehensive understanding of them and claims that whether to reuse dominant factors and to use synthetic partitioning are the main differences between factorial analysis and S&R. Furthermore, this paper introduces S&R definitively and concisely through an example. Based on the investigation, we propose a novel method for classification problems with interval-valued attributes that uses a determining degree to discretize interval values, and takes S&R as one of its steps. Experimental results show that this method is effective and reasonable.

Journal

Annals of Data Science – Springer Journals

Published: Apr 1, 2023

Keywords: Factor space; Determining degree; Factorial analysis; S&R; Classification; Interval-valued attribute

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