The Application of Pattern Recognition in Electrofacies Analysis
Pattern recognition is an important analytical tool in electrofacies analysis. In this paper, we study several commonly used clustering and classification algorithms. On the basis of advantages and disadvantages of existing algorithms, we introduce the KMRIC algorithm, which improves initial centers...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2014-01-01
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| Series: | Journal of Applied Mathematics |
| Online Access: | http://dx.doi.org/10.1155/2014/640406 |
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| _version_ | 1832559391572754432 |
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| author | Huan Li Xiao Yang Wenhong Wei |
| author_facet | Huan Li Xiao Yang Wenhong Wei |
| author_sort | Huan Li |
| collection | DOAJ |
| description | Pattern recognition is an important analytical tool in electrofacies analysis. In this paper, we study several commonly used clustering and classification algorithms. On the basis of advantages and disadvantages of existing algorithms, we introduce the KMRIC algorithm, which improves initial centers of K-means. Also, we propose the AKM algorithm which automatically determines the number of clusters and apply support vector machine to classification. Finally, we apply these algorithms to electrofacies analysis, where the experiments on the real-world datasets are carried out to compare the merits of various algorithms. |
| format | Article |
| id | doaj-art-fdd0bc9935cd4785997bd015d578b3b5 |
| institution | Kabale University |
| issn | 1110-757X 1687-0042 |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Applied Mathematics |
| spelling | doaj-art-fdd0bc9935cd4785997bd015d578b3b52025-02-03T01:30:12ZengWileyJournal of Applied Mathematics1110-757X1687-00422014-01-01201410.1155/2014/640406640406The Application of Pattern Recognition in Electrofacies AnalysisHuan Li0Xiao Yang1Wenhong Wei2Dongguan University of Technology, Dongguan 523808, ChinaSchool of Information Science and Technology, Tsinghua University, Beijing 100084, ChinaDongguan University of Technology, Dongguan 523808, ChinaPattern recognition is an important analytical tool in electrofacies analysis. In this paper, we study several commonly used clustering and classification algorithms. On the basis of advantages and disadvantages of existing algorithms, we introduce the KMRIC algorithm, which improves initial centers of K-means. Also, we propose the AKM algorithm which automatically determines the number of clusters and apply support vector machine to classification. Finally, we apply these algorithms to electrofacies analysis, where the experiments on the real-world datasets are carried out to compare the merits of various algorithms.http://dx.doi.org/10.1155/2014/640406 |
| spellingShingle | Huan Li Xiao Yang Wenhong Wei The Application of Pattern Recognition in Electrofacies Analysis Journal of Applied Mathematics |
| title | The Application of Pattern Recognition in Electrofacies Analysis |
| title_full | The Application of Pattern Recognition in Electrofacies Analysis |
| title_fullStr | The Application of Pattern Recognition in Electrofacies Analysis |
| title_full_unstemmed | The Application of Pattern Recognition in Electrofacies Analysis |
| title_short | The Application of Pattern Recognition in Electrofacies Analysis |
| title_sort | application of pattern recognition in electrofacies analysis |
| url | http://dx.doi.org/10.1155/2014/640406 |
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