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https://ah.lib.nccu.edu.tw/handle/140.119/113614
題名: | The Optimal Estimation of Fuzziness Parameter in Fuzzy C-Means Algorithm | 作者: | 郭訓志 Kuo, Hsun-Chih Lin, Yu-Jau |
貢獻者: | 統計系 | 關鍵詞: | Fuzzy c-means; Xie-Beni index; Simulated annealing; Markov chain | 日期: | Jun-2017 | 上傳時間: | 16-Oct-2017 | 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. | 關聯: | Lecture Notes in Artificial Intelligence, Vol.LNAI, No.10313 | 資料類型: | article | DOI: | https://doi.org/10.1007/978-3-319-60837-2_45 |
Appears in Collections: | 期刊論文 |
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