Application of K一means Clustering Algorithm to Divide Surface and Experimental Verification
In V1e41 of the quality problems of large panel die during integrative processing，the method of slice surface partition is used with the goal of dispersing the surface in accordance with certain accuracy. The geometric parameters and processing parameters of the discrete points are ohtained and then...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | zho |
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Harbin University of Science and Technology Publications
2017-02-01
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| Series: | Journal of Harbin University of Science and Technology |
| Subjects: |
| _version_ | 1819029011303497728 |
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| author | Wu Mingyang ZHANG Rui YUE Cai-xu LIU Xian-Li DING Yun-peug ZHU Lei |
| author_facet | Wu Mingyang ZHANG Rui YUE Cai-xu LIU Xian-Li DING Yun-peug ZHU Lei |
| author_sort | Wu Mingyang |
| collection | DOAJ |
| description | In V1e41 of the quality problems of large panel die during integrative processing，the method of slice surface partition is used with the goal of dispersing the surface in accordance with certain accuracy. The geometric parameters and processing parameters of the discrete points are ohtained and then the surface is roughly divided. K-means clustering algorithm center. And Voronoi diagram is adopted to further determine the amount of surface 月re月 and number of clustering algorithm used to extract the boundary of the surface. Different areas are processed using different processing method for tS t卜e dividing surface of aluminum alloy material. Through the contrastrve processing experiments between traditional method and the method of slice surface partition，the correctness and feasibility of proposed method are |
| first_indexed | 2024-12-21T06:07:28Z |
| format | Article |
| id | doaj.art-e632e6c600a04634819926889b3cdd5e |
| institution | Directory Open Access Journal |
| issn | 1007-2683 |
| language | zho |
| last_indexed | 2024-12-21T06:07:28Z |
| publishDate | 2017-02-01 |
| publisher | Harbin University of Science and Technology Publications |
| record_format | Article |
| series | Journal of Harbin University of Science and Technology |
| spelling | doaj.art-e632e6c600a04634819926889b3cdd5e2022-12-21T19:13:37ZzhoHarbin University of Science and Technology PublicationsJournal of Harbin University of Science and Technology1007-26832017-02-01545910.15938/j.jhust.2017.01.009Application of K一means Clustering Algorithm to Divide Surface and Experimental VerificationWu Mingyang ZHANG RuiYUE Cai-xuLIU Xian-LiDING Yun-peug ZHU LeiIn V1e41 of the quality problems of large panel die during integrative processing，the method of slice surface partition is used with the goal of dispersing the surface in accordance with certain accuracy. The geometric parameters and processing parameters of the discrete points are ohtained and then the surface is roughly divided. K-means clustering algorithm center. And Voronoi diagram is adopted to further determine the amount of surface 月re月 and number of clustering algorithm used to extract the boundary of the surface. Different areas are processed using different processing method for tS t卜e dividing surface of aluminum alloy material. Through the contrastrve processing experiments between traditional method and the method of slice surface partition，the correctness and feasibility of proposed method aresurfaces division; verified. K-means algorithm; voronoi diagram; aluminum alloys |
| spellingShingle | Wu Mingyang ZHANG Rui YUE Cai-xu LIU Xian-Li DING Yun-peug ZHU Lei Application of K一means Clustering Algorithm to Divide Surface and Experimental Verification Journal of Harbin University of Science and Technology surfaces division; verified. K-means algorithm; voronoi diagram; aluminum alloys |
| title | Application of K一means Clustering Algorithm to Divide Surface and Experimental Verification |
| title_full | Application of K一means Clustering Algorithm to Divide Surface and Experimental Verification |
| title_fullStr | Application of K一means Clustering Algorithm to Divide Surface and Experimental Verification |
| title_full_unstemmed | Application of K一means Clustering Algorithm to Divide Surface and Experimental Verification |
| title_short | Application of K一means Clustering Algorithm to Divide Surface and Experimental Verification |
| title_sort | application of k一means clustering algorithm to divide surface and experimental verification |
| topic | surfaces division; verified. K-means algorithm; voronoi diagram; aluminum alloys |
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