| 来源类型 | Conference or Workshop Item (UNSPECIFIED) |
| 规范类型 | 其他 |
| On sparse possibilistic clustering with crispness - Classification function and sequential extraction. | |
| Hamasuna Y; Endo Y | |
| 发表日期 | 2012 |
| 出处 | Proceedings, 2012 Joint 6th International Conference on Soft Computing and Intelligent Systems (SCIS) and 13th International Symposium on Advanced Intelligence Systems (ISIS), 20-24 November 2012 |
| 出版年 | 2012 |
| 语种 | 英语 |
| 摘要 | In addition to fuzzy c-means clustering, possibilistic clustering is well-known as one of the useful techniques because it is robust against noise in data. Especially sparse possibilistic clustering is quite different from other possibilistic clustering methods in the point of membership function. We propose a way to induce the crispness in possibilistic clustering by using L1 -regularization and show classification function of sparse possibilistic clustering with crispness for understanding allocation rule. We, moreover, show the way of sequential extraction by proposed method. After that, we show the effectiveness of the proposed method through numerical examples. |
| 主题 | Advanced Systems Analysis (ASA) |
| 关键词 | Classification function L1-regularization Possibilistic clustering Sequential extraction |
| URL | http://pure.iiasa.ac.at/id/eprint/10178/ |
| 来源智库 | International Institute for Applied Systems Analysis (Austria) |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/132469 |
| 推荐引用方式 GB/T 7714 | Hamasuna Y,Endo Y. On sparse possibilistic clustering with crispness - Classification function and sequential extraction.. 2012. |
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