| dc.contributor | 統計系 | |
| dc.creator (作者) | 郭訓志 | zh-TW |
| dc.creator (作者) | Kuo, Hsun-Chih | en-US |
| dc.creator (作者) | Lin, Yu-Jau | en-US |
| dc.date (日期) | 2017-06 | |
| dc.date.accessioned | 16-Oct-2017 12:08:18 (UTC+8) | - |
| dc.date.available | 16-Oct-2017 12:08:18 (UTC+8) | - |
| dc.date.issued (上傳時間) | 16-Oct-2017 12:08:18 (UTC+8) | - |
| dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/113614 | - |
| dc.description.abstract (摘要) | The fuzziness parameter m is an extra parameter that facilitates the iterative formulas of Fuzzy c-means (FCM). However, the parameter m, commonly set to be 2.0, is an important factor that effects the effectiveness of FCM. In literatures, the statistical study of m is so far not available. Viewing m as a random variable, we propose a novel idea to optimize the fuzziness parameter m. For the model selection, a modified cluster validity index is defined as the optimal function of m and improve the effectiveness of FCM. Then the simulated annealing algorithm is applied to approximate its estimate. | en_US |
| dc.format.extent | 362248 bytes | - |
| dc.format.mimetype | application/pdf | - |
| dc.relation (關聯) | Lecture Notes in Artificial Intelligence, Vol.LNAI, No.10313 | zh_TW |
| dc.subject (關鍵詞) | Fuzzy c-means; Xie-Beni index; Simulated annealing; Markov chain | en_US |
| dc.title (題名) | The Optimal Estimation of Fuzziness Parameter in Fuzzy C-Means Algorithm | en_US |
| dc.type (資料類型) | article | |
| dc.identifier.doi (DOI) | 10.1007/978-3-319-60837-2_45 | |
| dc.doi.uri (DOI) | https://doi.org/10.1007/978-3-319-60837-2_45 | |
