Neutrosophic Clustering Algorithm Based on Sparse Regular Term Constraint
Clustering algorithm is one of the important research topics in the field of machine learning. Neutrosophic clustering is the generalization of fuzzy clustering and has been applied to many fields. This paper presents a new neutrosophic clustering algorithm with the help of regularization. Firstly,...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2021/6657849 |
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| _version_ | 1832566454210265088 |
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| author | Dan Zhang Yingcang Ma Hu Zhao Xiaofei Yang |
| author_facet | Dan Zhang Yingcang Ma Hu Zhao Xiaofei Yang |
| author_sort | Dan Zhang |
| collection | DOAJ |
| description | Clustering algorithm is one of the important research topics in the field of machine learning. Neutrosophic clustering is the generalization of fuzzy clustering and has been applied to many fields. This paper presents a new neutrosophic clustering algorithm with the help of regularization. Firstly, the regularization term is introduced into the FC-PFS algorithm to generate sparsity, which can reduce the complexity of the algorithm on large data sets. Secondly, we propose a method to simplify the process of determining regularization parameters. Finally, experiments show that the clustering results of this algorithm on artificial data sets and real data sets are mostly better than other clustering algorithms. Our clustering algorithm is effective in most cases. |
| format | Article |
| id | doaj-art-08a08580480f431a9d57707e9d6caa6e |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-08a08580480f431a9d57707e9d6caa6e2025-02-03T01:04:04ZengWileyComplexity1076-27871099-05262021-01-01202110.1155/2021/66578496657849Neutrosophic Clustering Algorithm Based on Sparse Regular Term ConstraintDan Zhang0Yingcang Ma1Hu Zhao2Xiaofei Yang3School of Science, Xi’an Polytechnic Unversity, Xi’an, ChinaSchool of Science, Xi’an Polytechnic Unversity, Xi’an, ChinaSchool of Science, Xi’an Polytechnic Unversity, Xi’an, ChinaSchool of Science, Xi’an Polytechnic Unversity, Xi’an, ChinaClustering algorithm is one of the important research topics in the field of machine learning. Neutrosophic clustering is the generalization of fuzzy clustering and has been applied to many fields. This paper presents a new neutrosophic clustering algorithm with the help of regularization. Firstly, the regularization term is introduced into the FC-PFS algorithm to generate sparsity, which can reduce the complexity of the algorithm on large data sets. Secondly, we propose a method to simplify the process of determining regularization parameters. Finally, experiments show that the clustering results of this algorithm on artificial data sets and real data sets are mostly better than other clustering algorithms. Our clustering algorithm is effective in most cases.http://dx.doi.org/10.1155/2021/6657849 |
| spellingShingle | Dan Zhang Yingcang Ma Hu Zhao Xiaofei Yang Neutrosophic Clustering Algorithm Based on Sparse Regular Term Constraint Complexity |
| title | Neutrosophic Clustering Algorithm Based on Sparse Regular Term Constraint |
| title_full | Neutrosophic Clustering Algorithm Based on Sparse Regular Term Constraint |
| title_fullStr | Neutrosophic Clustering Algorithm Based on Sparse Regular Term Constraint |
| title_full_unstemmed | Neutrosophic Clustering Algorithm Based on Sparse Regular Term Constraint |
| title_short | Neutrosophic Clustering Algorithm Based on Sparse Regular Term Constraint |
| title_sort | neutrosophic clustering algorithm based on sparse regular term constraint |
| url | http://dx.doi.org/10.1155/2021/6657849 |
| work_keys_str_mv | AT danzhang neutrosophicclusteringalgorithmbasedonsparseregulartermconstraint AT yingcangma neutrosophicclusteringalgorithmbasedonsparseregulartermconstraint AT huzhao neutrosophicclusteringalgorithmbasedonsparseregulartermconstraint AT xiaofeiyang neutrosophicclusteringalgorithmbasedonsparseregulartermconstraint |