Nonparametric Hyperbox Granular Computing Classification Algorithms
Parametric granular computing classification algorithms lead to difficulties in terms of parameter selection, the multiple performance times of algorithms, and increased algorithm complexity in comparison with nonparametric algorithms. We present nonparametric hyperbox granular computing classificat...
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-02-01
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| Series: | Information |
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| Online Access: | https://www.mdpi.com/2078-2489/10/2/76 |
| _version_ | 1819027564735234048 |
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| author | Hongbing Liu Xiaoyu Diao Huaping Guo |
| author_facet | Hongbing Liu Xiaoyu Diao Huaping Guo |
| author_sort | Hongbing Liu |
| collection | DOAJ |
| description | Parametric granular computing classification algorithms lead to difficulties in terms of parameter selection, the multiple performance times of algorithms, and increased algorithm complexity in comparison with nonparametric algorithms. We present nonparametric hyperbox granular computing classification algorithms (NPHBGrCs). Firstly, the granule has a hyperbox form, with the beginning point and the endpoint induced by any two vectors in <i>N</i>-dimensional (<i>N</i>-D) space. Secondly, the novel distance between the atomic hyperbox and the hyperbox granule is defined to determine the joining process between the atomic hyperbox and the hyperbox. Thirdly, classification problems are used to verify the designed NPHBGrC. The feasibility and superiority of NPHBGrC are demonstrated by the benchmark datasets compared with parametric algorithms such as HBGrC. |
| first_indexed | 2024-12-21T05:44:29Z |
| format | Article |
| id | doaj.art-12e59727169a4df49d93a77816321195 |
| institution | Directory Open Access Journal |
| issn | 2078-2489 |
| language | English |
| last_indexed | 2024-12-21T05:44:29Z |
| publishDate | 2019-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Information |
| spelling | doaj.art-12e59727169a4df49d93a778163211952022-12-21T19:14:10ZengMDPI AGInformation2078-24892019-02-011027610.3390/info10020076info10020076Nonparametric Hyperbox Granular Computing Classification AlgorithmsHongbing Liu0Xiaoyu Diao1Huaping Guo2Center of Computing, Xinyang Normal University, Xinyang 464000, ChinaSchool of Computer and Information Technology, Xinyang Normal University, Xinyang 464000, ChinaSchool of Computer and Information Technology, Xinyang Normal University, Xinyang 464000, ChinaParametric granular computing classification algorithms lead to difficulties in terms of parameter selection, the multiple performance times of algorithms, and increased algorithm complexity in comparison with nonparametric algorithms. We present nonparametric hyperbox granular computing classification algorithms (NPHBGrCs). Firstly, the granule has a hyperbox form, with the beginning point and the endpoint induced by any two vectors in <i>N</i>-dimensional (<i>N</i>-D) space. Secondly, the novel distance between the atomic hyperbox and the hyperbox granule is defined to determine the joining process between the atomic hyperbox and the hyperbox. Thirdly, classification problems are used to verify the designed NPHBGrC. The feasibility and superiority of NPHBGrC are demonstrated by the benchmark datasets compared with parametric algorithms such as HBGrC.https://www.mdpi.com/2078-2489/10/2/76hyperbox granulegranular computingdistancejoin operation |
| spellingShingle | Hongbing Liu Xiaoyu Diao Huaping Guo Nonparametric Hyperbox Granular Computing Classification Algorithms Information hyperbox granule granular computing distance join operation |
| title | Nonparametric Hyperbox Granular Computing Classification Algorithms |
| title_full | Nonparametric Hyperbox Granular Computing Classification Algorithms |
| title_fullStr | Nonparametric Hyperbox Granular Computing Classification Algorithms |
| title_full_unstemmed | Nonparametric Hyperbox Granular Computing Classification Algorithms |
| title_short | Nonparametric Hyperbox Granular Computing Classification Algorithms |
| title_sort | nonparametric hyperbox granular computing classification algorithms |
| topic | hyperbox granule granular computing distance join operation |
| url | https://www.mdpi.com/2078-2489/10/2/76 |
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