Please use this identifier to cite or link to this item:
https://ah.lib.nccu.edu.tw/handle/140.119/113614| DC Field | Value | Language |
|---|---|---|
| dc.contributor | 統計系 | |
| dc.creator | 郭訓志 | zh-TW |
| dc.creator | Kuo, Hsun-Chih | en-US |
| dc.creator | Lin, Yu-Jau | en-US |
| dc.date | 2017-06 | |
| dc.date.accessioned | 2017-10-16T04:08:18Z | - |
| dc.date.available | 2017-10-16T04:08:18Z | - |
| dc.date.issued | 2017-10-16T04:08:18Z | - |
| dc.identifier.uri | http://nccur.lib.nccu.edu.tw/handle/140.119/113614 | - |
| dc.description.abstract | 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 | Lecture Notes in Artificial Intelligence, Vol.LNAI, No.10313 | zh_TW |
| dc.subject | Fuzzy c-means; Xie-Beni index; Simulated annealing; Markov chain | en_US |
| dc.title | The Optimal Estimation of Fuzziness Parameter in Fuzzy C-Means Algorithm | en_US |
| dc.type | article | |
| dc.identifier.doi | 10.1007/978-3-319-60837-2_45 | |
| dc.doi.uri | https://doi.org/10.1007/978-3-319-60837-2_45 | |
| item.openairetype | article | - |
| item.cerifentitytype | Publications | - |
| item.fulltext | With Fulltext | - |
| item.grantfulltext | restricted | - |
| item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
| Appears in Collections: | 期刊論文 | |
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